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Getting Started with Deep Learning Models in R using Google Cloud and RStudio (Cloud Next '18)
 
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Are you an R developer who is looking to leverage cloud computing? Have you read about Cloud ML Engine for TensorFlow, but feel left out due to its Python dependency? Worry no more! RStudio now offers the tensorflow and keras packages, along with cloudml, a package to interface with Google Cloud ML Engine. Join Google engineers and RStudio solutions engineer and co-author of 'R for Dummies' Andrie de Vries, to learn about building and deploying deep learning models using Google Cloud and RStudio. Event schedule → http://g.co/next18 Watch more Machine Learning & AI sessions here → http://bit.ly/2zGKfcg Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1547 Google Cloud Platform
"Why Should I Trust you?" Explaining the Predictions of Any Classifier
 
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Author: Marco Tulio Ribeiro, Department of Computer Science and Engineering, University of Washington Abstract: Despite widespread adoption, machine learning models re- main mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an untrustworthy model or prediction into a trustworthy one. In this work, we propose LIME, a novel explanation technique that explains the predictions of any classifier in an interpretable and faithful manner, by learning an interpretable model locally around the prediction. We also propose a method to explain models by presenting representative individual predictions and their explanations in a non-redundant way, framing the task as a submodular optimization problem. We demonstrate the flexibility of these methods by explaining different models for text (e.g. random forests) and image classification (e.g. neural networks). We show the utility of explanations via novel experiments, both simulated and with human subjects, on various scenarios that require trust: deciding if one should trust a prediction, choosing between models, improving an untrustworthy classifier, and identifying why a classifier should not be trusted. More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/
Views: 7600 KDD2016 video
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data Scientist, Aviva
 
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This presentation was filmed at the London Artificial Intelligence & Deep Learning Meetup: https://www.meetup.com/London-Artificial-Intelligence-Deep-Learning/events/245251725/. Enjoy the slides: https://www.slideshare.net/0xdata/interpretable-machine-learning-using-lime-framework-kasia-kulma-phd-data-scientist. - - - Kasia discussed complexities of interpreting black-box algorithms and how these may affect some industries. She presented the most popular methods of interpreting Machine Learning classifiers, for example, feature importance or partial dependence plots and Bayesian networks. Finally, she introduced Local Interpretable Model-Agnostic Explanations (LIME) framework for explaining predictions of black-box learners – including text- and image-based models - using breast cancer data as a specific case scenario. Kasia Kulma is a Data Scientist at Aviva with a soft spot for R. She obtained a PhD (Uppsala University, Sweden) in evolutionary biology in 2013 and has been working on all things data ever since. For example, she has built recommender systems, customer segmentations, predictive models and now she is leading an NLP project at the UK’s leading insurer. In spare time she tries to relax by hiking & camping, but if that doesn’t work ;) she co-organizes R-Ladies meetups and writes a data science blog R-tastic (https://kkulma.github.io/). https://www.linkedin.com/in/kasia-kulma-phd-7695b923/
Views: 9203 H2O.ai
What Is The Meaning Of Text Mining?
 
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Text analytics software can help by transposing words and phrases in unstructured data into numerical values which text mining, also referred to as roughly equivalent analytics, is the process of deriving high quality information from. 57 data and text mining has been defined as automated analytical techniques that work by 'copying existing electronic information, for instance articles in meaningcloud market leading solutions for text mining and voice of the way to extract the meaning of all kind of unstructured content social conversation, What is text mining (text analytics)? Definition from whatis about text mining ibm. Text mining defined questions answered logi analyticstext for beginners what is text mining? Stony brook cs. Text mining wikipedia what is text (text analytics)? Definition from whatis searchbusinessanalytics. Googleusercontent search. Marti hearst what is text mining? . Text mining? What does text mining mean? mining, big data, unstructured data statistica. Text analytics meaningcloud text mining solutions. High quality information is typically derived through the devising of patterns and trends means such as statistical pattern learning text mining process analyzing collections textual materials in order to linguistics based finds meaning much people do by apr 23, 2013 mining, which sometimes referred analytics one way make qualitative or unstructured data usable a computer. What is text data mining? Definition from techopedia. Prelude overview introduction to text mining tutorialwhat does previously unknown mean? Implies discovering genuinely new apr 29, 2016 even if the definition of may look simple, operations, are not. What is text mining (text analytics)? Definition from whatis about ibm. Text mining definition of text by the free dictionary. Text mining attempts to derive meaning from the words and sentences in therefore, text analytics software has been created that uses natural language processing algorithms find huge amounts of 11. How? Determine patterns and trends within text through statistical pattern learning a simple explanation of how mining works, it differs from keyword search can understand real meanings thanks to sophisticated natural language witte, r. Learn more on how text mining works oct 17, 2003 is the discovery by computer of new, previously even though meaning texts are not being discerned programs ''jan 18, 2017. What is text mining? Information space. That's sick! text mining and words with multiple definitions definition from pc magazine encyclopediawhat is analytics? Clarabridgealrc. Qualitative data is descriptive that cannot be measured in numbers and often includes qualities of appearance like color, texture, textual description text mining means deriving insights from. Text mining wikipedia. The application of text mining techniques to solve business problems is called analytics. There are text mining applications which offer 'black box' methods to extract 'deep meaning' data definition
SAS® Text Analytics Software Demo
 
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http://www.sas.com/en_us/software/analytics/text-miner.html SAS Text Analytics help companies address big data issues that arise from unstructured content by applying linguistic rules and statistical methods. SAS TEXT MINER Get faster, deeper insight from unstructured data. Why limit yourself to analyzing legacy data? Our text mining software lets you easily analyze text data from the web, comment fields, books and other text sources. Discover new information, topics and term relationships that deepen your understanding. And add what you learn to your models to improve lift and performance. Benefits: * Improve model performance. * Add subject-matter expertise. * Automatically know more. * Determine what's hot and what's not. LEARN MORE ABOUT SAS TEXT MINER http://www.sas.com/en_us/software/analytics/text-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss To learn more about SAS Text Analytics, visit http://www.sas.com/textanalytics
Views: 23312 SAS Software
Beyoncé - Formation
 
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Grammy nominated best video of the year "Formation" from LEMONADE the Visual Album Available Now! iTunes: http://smarturl.it/LEMONADEitunes Amazon.com: http://smarturl.it/LEMONADEcd TIDAL: https://lemonade.tidal.com Follow Beyoncé Website: https://www.beyonce.com Facebook: https://www.facebook.com/beyonce Twitter: Follow Beyoncé Listen to Beyoncé iTunes: https://itunes.apple.com/us/artist/beyonc%C3%A9/id1419227 Spotify: https://open.spotify.com/artist/6vWDO969PvNqNYHIOW5v0m Instagram: https://www.instagram.com/beyonce
Views: 131951250 BeyoncéVEVO
"How machine learning helps cancer research" by Evelina Gabasova
 
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Machine learning methods are being applied in many different areas - from analyzing financial stock markets to movie recommender engines. But the same methods can be applied to other areas that also deal with big messy data. In bioinformatics I use similar machine learning, only this time to help find the underlying mechanisms of cancer. The problems in bioinformatics might seem opaque and confusing - sequencing, DNA, methylation, ChIP-seq, motifs etc. But underneath, the same algorithms that are used to find groups of customers based on their buying behavior can be used to find subtypes of cancer that respond differently to treatments. Algorithms for text analysis can be used to find important patterns in DNA strands. And software verification tools can help analyze biological systems. In this talk, I'll show you the exciting world of machine learning applications in bioinformatics. No knowledge of biology is required, the talk will be mostly in developer-speak. Evelina Gabasova UNIVERSITY OF CAMBRIDGE @evelgab Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. Her background is mainly in computer science, statistics and machine learning. Evelina is a big fan of F# and uses it frequently for data manipulation and exploratory analysis in her research. Outside of academia, she also speaks at developer conferences and user groups about using F# for data science. She writes a blog at http://www.evelinag.com.
Views: 8636 Strange Loop
RStudioでRを直感的に使おう MacOS版 2017
 
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本家はこちら http://togotv.dbcls.jp/ja/20170512.html Rはフリーでオープンソースの統計解析環境です。Rを使うとデータの操作や計算、可視化を統合して行うことができます。豊富に用意されたサンプルデータや、対話的な解析、網羅的なパッケージアーカイブCRANが特徴です。Windows, MacOS, Linux とマルチプラットホームで利用可能です。今回はRの統合開発環境であるRStudioを紹介します。
Views: 736 togotv
AWS re:Invent 2017: [REPEAT] GPS: Blockchain and the Road to Innovation (GPSTEC303-R)
 
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For many, Blockchain has been a black box with little standardization on how to use the technology. The need to understand a multitude of protocols, consortiums, and services, along with their strengths and weaknesses, makes it difficult to select the best option for individual use cases. The lack of technical maturity leads to an uneasiness within the community that can negatively affect adoption. With our new partnerships, along with Intel, this panel discusses technology drivers that are pushing standards forward and accelerating the adoption of Blockchain in the AWS enterprise space. Come join us for a closer look at what Blockchain is doing for several industries and their use cases.
Views: 1762 Amazon Web Services
Explaining Black-Box Machine Learning Predictions
 
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At the first PyData SoCal meet up, Dr. Sameer Singh of the University of California, Irvine delivered this talk entitled Explaining Black-Box Machine Learning Predictions.
Views: 283 DataScience.com
Using R: Analysing Flea Beetle Data
 
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A worked example using R to analyse biological data, together with some tips on working with data frames - renaming columns, and 'slicing' subsets of data into new data frames.
Views: 117 MyWorkVidsWebTV
How Machine Learning Helps Humans Search Millions of Documents Instantly
 
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TRANSCRIPT: Exaptive uses sophisticated technology to make discoveries easier, especially when researchers are looking through data contained within millions of documents. We use machine learning to facilitate the exploration of data that would otherwise be too vast to support valuable insights. Machine Learning allows for a model to improve over time.. given new training data.. without requiring more human effort. For example, a common “text-classification benchmark task” is to train a model on messages for multiple discussion board threads.. and then later use it to predict what the topic of discussion was.. Whether it was space, computers, religion, anything. Besides being able to classify new texts, Machine Learning approaches can also attempt to identify the authors or find similar documents. The ability to identify similar documents can lead to a “recommender system” for new content that a user might find interesting. Machine Learning-based models are commonly desired to be “black-box” in the sense that a user desires to be able to put data in.. and get answers out.. without having to know the details of how this is achieved. However, there is usually a desire to understand the resulting model and why a recommendation is given. There is also a desire to understand a collection of texts, such as search results, where the user may want a summary of a 100 page list of a thousand “ranked results.” In this use case, we build a data landscape, which is a visualization of the documents that conveys their similarities as well as the relationships to key terms which were identified when learning the model. In one application of data landscape technology, Exaptive processed over 100 million documents which had been “machine read” from “scanned documents” via “optical character recognition”. Some of the documents were hundreds of years old. We recorded counts for roughly 200,000 words.. and then estimated the importance of those words to the documents as a “feature engineering” step. This measure is known as “term frequency-inverse document frequency” or TF-IDF. “Singular value decomposition”.. or S-V-D.. was then used to find high level concepts which are each defined by many words. At that point in the process, documents are described by high level concepts that align with areas of medicine, economics, religion, politics, et cetera. The concepts that are learned are data-dependent. If only medical documents are used, then the model’s resources will be used to identify more “finely-detailed” categories. We then clustered the documents in that “topic space” to find which documents are similar. The “silhouette coefficient measure” allowed us to automatically select a good “number of clusters.” Next, we projected the documents down to a two dimensional scatterplot using a combination of SVD and multi-dimensional scaling. Based on the density of the documents, we fit a contour map, which looks like a topological map. Color varies across the contour map according to the cluster assignment for documents in that area. Finally, we solve for landmarks which correspond to the x-y location of the key “driver terms” for each cluster. Using these same concepts, the Exaptive team designed the PubMed® Explorer. PubMed Explorer makes it easy to search PubMed’s extensive collection of papers. One of the visualizations provided is a “term landscape”. The term landscape is similar to the key “term landmarks” from the previously described data landscape. The positions are found in a more direct method by projecting TF-IDF values directly to 2-D. For a collection of search results, the user may then view a two-dimensional landscape where related terms are grouped together spatially. Depending on how this project is performed, it is easy to obtain either the documents locations, or the term locations. This allows us to provide the user with options to create the same visualization for articles or journals, instead of topics. As with the previously described visualizations, the documents are categorized using clustering which provides for distinction with the term and cluster colors. Many people associate Machine Learning with A-I, or Artificial Intelligence. At Exaptive, we use it to support I-A, or “intelligence augmentation.” The difference is.. that instead of using machine learning to eliminate the need for humans in a process, the technology supports the intelligence of the human researcher, so researchers can accomplish more than what would otherwise be humanly possible. www.exaptive.com
Views: 114 Exaptive
Text Analytics Challenges
 
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Text Analytics Challenges
Views: 220 DecoodaTV
Minecraft Xbox - All Mine [380]
 
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Part 381 - https://youtu.be/LY2nVRr2ZWM Welcome to my Let's Play of the Xbox 360 Edition of Minecraft. These videos will showcase what I have been getting up to in Minecraft and everything I have built. In this episode I go mining in my lovely world. Twitter - @stampylongnose Instagram - https://www.instagram.com/stampycatyt Facebook - https://www.facebook.com/stampylongnose UK Shop - http://stampy.spreadshirt.co.uk US Shop - http://shop.maker.tv/collections/stampy
Views: 6106996 stampylonghead
How to run a simple linear regression model in R
 
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In this video, we learn how to setup a simple linear regression model using R
Views: 1622 Shokoufeh Mirzaei
ROC Curves and Area Under the Curve (AUC) Explained
 
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Transcript and screenshots: http://dataschool.io/roc-curves-and-auc-explained/ Visualization: http://www.navan.name/roc/ Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). == LET'S CONNECT! == Blog: http://www.dataschool.io Newsletter: http://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham GitHub: https://github.com/justmarkham
Views: 236810 Data School
TIG 3 7 Predictive Analytics Meet Up
 
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Deep learning is unlocking tremendous economic value across various market sectors. Individual data scientists can draw from several open source frameworks and basic hardware resources the very initial investigative phases but quickly require significant hardware and software resources to build and deploy production models. Intel Nervana has built a competitive deep learning platform to make it easy for data scientists to start from the iterative, investigatory phase and take models all the way to deployment. Nirvana’s platform is designed for speed and scale, and serves as a catalyst for all types of organizations to benefit from the full potential of deep learning. Example of supported applications include but not limited to automotive speech interfaces, image search, language translation, agricultural robotics and genomics, financial document summarization, and finding anomalies in loT data. In this talk, we will give an overview of Nervana’s DL platform and get some hands-on experience using this platform to train and execute deep learning models. Speaker: Sathish Nagappan, Engineer – Deep Learning Platform Sathish Nagappan is a cloud & machine learning engineer at Intel Nervana. He was an early team member at Nervana and a core contributor to the Nervana Cloud platform and neon framework. He graduated from Stanford University with an M.S. in Computer Science. About Dean Abbot and Predictive Analytics Meet Up Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced algorithms and data preparation techniques to real-world problems in customer acquisition and churn, fraud detection, text mining, HR analytics, and more. He has been named as one of the 10 Most Influential People in Data Analytics, the top 12 influencers in data mining, 10 pioneering data scientists, and 200 thought leaders in big data. Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate and the UCSD Data Mining Certificate programs. He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987). You can also follow him on Twitter at @deanabb.
Views: 200 TIGTV1
John Legend - All of Me (Edited Video)
 
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John Legend's official music video for 'All Of Me'. Click to listen to John Legend on Spotify: http://smarturl.it/JohnLSpotify?IQid=... As featured on Love In The Future. Click to buy the track or album via iTunes: http://smarturl.it/JohnLLITFiTUnes?IQ... Google Play: http://smarturl.it/JohnLAOMplay?IQid=... Amazon: http://smarturl.it/JohnLLITFAmz?IQid=... More from John Legend Save Room: https://youtu.be/iOmnGzAKLvg Everybody Knows: https://youtu.be/c7NLq5Soq_E Heaven: https://youtu.be/Gs6ajB9o8b4 Follow John Legend Website: http://www.johnlegend.com/ Facebook: https://www.facebook.com/johnlegend Twitter: https://twitter.com/johnlegend Subscribe to John Legend on YouTube: http://smarturl.it/JohnLSub?IQid=John... More great Global Hits videos here: http://smarturl.it/GlobalHits?IQid=Jo... --------- Lyrics: What would I do without your smart mouth? Drawing me in, and you kicking me out You've got my head spinning, no kidding, I can't pin you down What's going on in that beautiful mind I'm on your magical mystery ride And I'm so dizzy, don't know what hit me, but I'll be alright [Pre-Chorus:] My head's under water But I'm breathing fine You're crazy and I'm out of my mind [Chorus:] 'Cause all of me Loves all of you Love your curves and all your edges All your perfect imperfections Give your all to me I'll give my all to you You're my end and my beginning Even when I lose I'm winning 'Cause I give you all of me And you give me all of you, oh oh"
Views: 1356273607 johnlegendVEVO
Andreas Dewes - Fairness and transparency in machine learning: Tools and techniques
 
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Description This talk will try to answer a simple question: When building machine learning systems, how can we make sure that they treat people fairly and can be held accountable? While seemingly trivial, this question is not easy to answer, especially when using complex methods like deep learning. I will discuss tools and techniques that we can use to make sure our algorithms behave as they should. Abstract When working with personal data, we need to make sure that our algorithms treat people fairly, are transparent and can be held accountable for their decisions. When using complex techniques like deep learning on very large datasets, it is not easy to prove that our algorithms behave they way we intend them to and e.g. do not discriminate against certain groups of people. In my talk, I will discuss why ensuring transparency and fairness in machine learning is not easy, and how we can use Python tools to investigate our machine learning systems and makre sure they behave they way they should. -Introduction: Why you should care about this (EU Data Protection Directive) -What kind of problems can occur in machine learning systems (bias in the input data, leakage of sensitive information into the training data, hidden usage of protected attributes by the algorithm)? -How can we measure and correct for bias in our systems (certifying and removing disparate impact)? -How can we understand the decisions that our algorithms make (perturbation analysis, simplified modeling, blackbox testing)? -How can we design our machine learning systems to make sure they're compliant and accountable (anonymization of data, monitoring of outcomes, auditing of algorithms)? -Outlook: The future of transparency and accountability in machine learning www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 277 PyData
This Is Not Yellow
 
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Click this link to subscribe to Vsauce for more! It's FREE! http://www.youtube.com/subscription_center?add_user=vsauce Michael Stevens on Twitter: http://www.twitter.com/Tweetsauce Jake's channel: http://www.youtube.com/jakechudnow Pizza trails: http://www.dailymail.co.uk/news/article-2161488/Secret-corpse-flights-pizza-boy-delivery-routes-daily-commute-Stunning-aerial-images-reveal-seen-America.html and frog horse: http://educ.jmu.edu/~johns2ja/illusion/froghorse.gif Food patterns: http://www.ignant.de/2012/05/11/cookie-connection/ Cool submission on color visio and real vs. "fake" color: http://www.reddit.com/r/woahdude/comments/ygmi4/lasers_exploding_rocks_on_mars_to_look_at_their/ How LCD screens show color: http://electronics.howstuffworks.com/lcd5.htm Best LCD explanation video on YouTube (sub to this guy ftw): http://www.youtube.com/watch?v=jiejNAUwcQ8 Electric vs Process yellow: http://en.wikipedia.org/wiki/Yellow#Electric_yellow_vs._process_yellow Cone cells: http://en.wikipedia.org/wiki/Cone_cell Lemon battery: http://en.wikipedia.org/wiki/Lemon_battery Electricity from apples ART: http://www.thisiscolossal.com/2012/08/photographer-caleb-charland-wires-apple-trees-fruit-baskets-and-stacked-coins-to-create-alternative-batteries/ Apple LED VIDEO: http://www.youtube.com/watch?v=VcNKtjCA3Jc Steven Shaheen light bulb people: http://www.mymodernmet.com/profiles/blogs/stephen-shaheen-headlight Merve Kahraman's revitalizer wax lamp: http://www.ignant.de/2012/08/22/revitalizer/ Fukusada wodden light bulb: http://hypenotice.com/design/wooden-light-bulb-by-fukusada/10/ Tang Yau Hoong: http://tangyauhoong.tumblr.com Frame climbing wall: http://www.ignant.de/2012/08/23/alice-climbing-wall/ Minimal LEGO art: http://wildammo.com/2012/03/19/when-lego-meets-minimalistic-cartoon-characters/#7 couple and hidden baby: http://educ.jmu.edu/~johns2ja/illusion/baby.jpg Zebras and lions: http://educ.jmu.edu/~johns2ja/illusion/illusions0908/rust_hiddenlion.jpg clever billboard ad: http://wildammo.com/2011/07/08/creative-and-amusing-ads-on-buildings/ xkcd "When Will We Forget?" http://laughingsquid.com/charting-the-years-that-young-people-will-start-to-forget-things/ Year book face: http://theclearlydope.tumblr.com/post/28452072426/this-school-is-beautiful tesselation: http://educ.jmu.edu/~johns2ja/illusion/catbird.gif *BONUS* crayon pixel art: http://www.mymodernmet.com/profiles/blogs/thousands-of-crayons-form-pixelated-portraits
Views: 18516533 Vsauce
New largest Toys R Us haul! 2018 LEGO & Mega sets 📦 #213
 
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🌐 http://JANGBRiCKS.com 📷 Instagram: jangbricks4real 👤 Facebook & Twitter: JangBricks Full list of my verified media accounts at http://jangbricks.com/verified (assume anything else is fake). Thank you for helping me maintain a positive, safe, family-friendly* environment in the comments, keeping it clean for kids & adults alike! My preferred online shop is http://amzn.to/2qllzg5 (that's an affiliate link that I was not asked or paid to place, but if you choose click it & buy something, I may get a tiny commission). For a more complete list see http://jangbricks.com/where-i-shop I do most product research at http://Brickset.com where I also track upcoming releases & manage my past set collection. I appreciate constructive criticism & respectful disagreement! Learn more at http://jangbricks.com/criticize --------------------------------- TOP VIEWER QUESTIONS: See my Frequently Asked Questions master list at http://jangbricks.com/FAQ Q: When will this set be released? A: If I got it & reviewed it, I bought it & it's released. Q: Do you review free products given to you by manufacturers or vendors? A: No. Again, if I got it & reviewed it, I bought it. Q: Where/how did you get this? How do you get sets "early?" A: I still bought it. See http://jangbricks.com/early Q: First!? 2nd comment? 345th viewer? Early squad? A: Comments are hand-moderated & pointless number-spam is deleted, persistent offenders blocked or shadowbanned. I value *real* comments, as do other viewers. Q: When will the next update video about your [layout/creation/anything] be posted? A: The next time it is updated enough to warrant a new video. There's no pre-set schedule. Q: Can you show your studio setup? How do you do your background & item spins? A: See http://goo.gl/wzQNMk Q: It's [X] o'clock, why are you posting? A: It's [X] o'clock, why are you posting about me posting? Q: Will you sell/trade/give me something from your videos? A: I only donate to charities & don’t sell to the public. See http://goo.gl/BgOhl4 Q: Have you a done a video about [some set]? A: Search for "jangbricks [name of the set]" to quickly see if I have what you're looking for. Q: Any tips for new YouTube channels? A: Yes! http://jangbricks.com/youtube-tips Q: This video was just uploaded; how are there comments from days ago? Bug? Hacks? Exploits? A: Youtube's "uploaded on" text is wrong, is all. The video was just previously unlisted & linked from my blog and/or social media. Q: Can I use your music? A: No, it is paid, licensed material that is illegal to copy. * I have ZERO tolerance for disrespect, harassment, threats, cyber-bullying, racism, sexism, homophobic attacks, foul language, and spam on my channels. Comments are actively moderated and abusive users are reported & blocked/shadowbanned to protect viewers of all ages. Keep it civil, keep it respectful. --------------------------------- I am not employed by or under contract with any manufacturer or vendor to create content to promote their products or services. The opinions I express are mine and mine alone and not for sale for any price. Ads, when shown, are selected & placed by YouTube/Google itself based upon their algorithms and your viewing history.
Views: 638941 JANGBRiCKS
Cross Selling with RapidMiner
 
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Tutorial on building a Cross Sell Data Mining model using RapidMiner Studio
Views: 132 CDO Advisors
The Biggest Scam In The History Of Mankind - Hidden Secrets of Money Episode 4
 
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Bonus Presentation here: http://www.hiddensecretsofmoney.com Who owns the Federal reserve? You are about to learn one of the biggest secrets in the history of the world... it's a secret that has huge effects for everyone who lives on this planet. Most people can feel deep down that something isn't quite right with the world economy, but few know what it is. Gone are the days where a family can survive on just one paycheck... every day it seems that things are more and more out of control, yet only one in a million understand why. You are about to discover the system that is ultimately responsible for most of the inequality in our world today. The powers that be DO NOT want you to know about this, as this system is what has kept them at the top of the financial food-chain for the last 100 years. Learning this will change your life, because it will change the choices that you make. If enough people learn it, it will change the world... because it will change the system . For this is the biggest Hidden Secret Of Money. Never in human history have so many been plundered by so few, and it's all accomplished through this... The Biggest Scam In The History Of Mankind. =========================== For more info. on Gold, Silver, & Mike Maloney, visit the Why Gold & Silver channel and subscribe: http://goo.gl/emXEB Also join GoldSilver.com & Mike Maloney on other websites and social networks: Official Websites: http://GoldSilver.com & http://OroPlata.com/ GoldSilver Facebook: https://www.facebook.com/pages/Goldsilvercom/230719865624 Mike Maloney Facebook: https://www.facebook.com/pages/Mike-Maloney/98230491374 Hidden Secrets of Money Facebook: https://www.facebook.com/HiddenSecretsofMoney Twitter (GoldSilver.com News): https://twitter.com/NewsGoldSilver Twitter (Mike Maloney): https://twitter.com/mike_maloney LinkedIn: http://www.linkedin.com/company/goldsilver-com Thank You for Visiting Us.
I don't feeeel like using the door today...
 
00:17
I put this video in my "Useless Redstone Contraptions" folder. Reddit Post: http://www.reddit.com/r/Minecraft/comments/2ayzno/i_dont_feeeel_like_using_the_door_today/ TUTORIAL: https://www.youtube.com/watch?v=iBq25VjMvN8&list=UUkk_zmz4mzXQ70z-O6ynxOA [Donate] https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=BQRXV5BJDSYFU&lc=US&item_name=_Lmeagno%20YouTube%20Channel&item_number=youarebeautifulalways&currency_code=USD&bn=PP%2dDonationsBF%3abtn_donateCC_LG%2egif%3aNonHosted ========================================­======= Planet Minecraft: http://www.planetminecraft.com/member/lmeagno/ Twitter: https://twitter.com/Lmeagno Twitch: http://www.twitch.tv/lmeagno DeviantART: http://lmea.deviantart.com ========================================­=======
Views: 4572 Lmeagno
Driverless AI Hands-On Focused on Machine Learning Interpretability - H2O.ai
 
57:29
This video was recorded at #H2OWorld 2017 in Mountain View, CA. Enjoy the slides: https://www.slideshare.net/0xdata/driverless-ai-handson-focused-on-machine-learning-interpretability-h2oai. Learn more about H2O.ai here: https://www.h2o.ai/. Follow @h2oai: https://twitter.com/h2oai. - - - Abstract: Usage of AI and machine learning models is likely to become more commonplace as larger swaths of the economy embrace automation and data-driven decision-making. While these predictive systems can be quite accurate, they have been treated as inscrutable black boxes in the past, that produce only numeric predictions with no accompanying explanations. Unfortunately, recent studies and recent events have drawn attention to mathematical and sociological flaws in prominent weak AI and ML systems, but practitioners usually don’t have the right tools to pry open machine learning black-boxes and debug them. This presentation introduces several new approaches to that increase transparency, accountability, and trustworthiness in machine learning models. If you are a data scientist or analyst and you want to explain a machine learning model to your customers or managers (or if you have concerns about documentation, validation, or regulatory requirements), then this presentation is for you! Patrick Hall is a senior director for data science products at H2O.ai where he focuses mainly on model interpretability. Patrick is also currently an adjunct professor in the Department of Decision Sciences at George Washington University, where he teaches graduate classes in data mining and machine learning. Prior to joining H2O.ai, Patrick held global customer facing roles and R & D research roles at SAS Institute. He holds multiple patents in automated market segmentation using clustering and deep neural networks. Patrick was the 11th person worldwide to become a Cloudera certified data scientist. He studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University. Navdeep Gill is a Software Engineer/Data Scientist at H2O.ai. He graduated from California State University, East Bay with a M.S. degree in Computational Statistics, B.S. in Statistics, and a B.A. in Psychology (minor in Mathematics). During his education, he gained interests in machine learning, time series analysis, statistical computing, data mining, & data visualization. Previous to H2O.ai he worked at Cisco Systems, Inc. focusing on data science & software development. Before stepping into industry, he worked in various Neuroscience labs as a researcher/analyst. These labs were at institutions such as California State University, East Bay, University of California, San Francisco, and Smith Kettlewell Eye Research Institute. His work across these labs varied from behavioral, electrophysiology, and functional magnetic resonance imaging research. In his spare time Navdeep enjoys watching documentaries, reading (mostly non-fiction or academic), and working out. Mark Chan is a hacker at H2O.ai. He was previously in the finance world as a quantitative research developer at Thomson Reuters and Nipun Capital. He also worked as a data scientist at an IoT startup, where he built a web-based machine learning platform and developed predictive models. Mark has a MS Financial Engineering from UCLA and a BS Computer Engineering from University of Illinois Urbana-Champaign. In his spare time Mark likes competing on Kaggle and cycling.
Views: 868 H2O.ai
What's new, Atlas?
 
00:55
What have you been up to lately, Atlas?
Views: 15917425 BostonDynamics
LEGO City Mining Team review! 60184
 
06:22
🌐 http://JANGBRiCKS.com 📷 Instagram: jangbricks4real 👤 Facebook & Twitter: JangBricks Full list of my verified media accounts at http://jangbricks.com/verified (assume anything else is fake). Thank you for helping me maintain a positive, safe, family-friendly* environment in the comments, keeping it clean for kids & adults alike! My preferred online shop is http://amzn.to/2qllzg5 (that's an affiliate link that I was not asked or paid to place, but if you choose click it & buy something, I may get a tiny commission). For a more complete list see http://jangbricks.com/where-i-shop I do most product research at http://Brickset.com where I also track upcoming releases & manage my past set collection. I appreciate constructive criticism & respectful disagreement! Learn more at http://jangbricks.com/criticize --------------------------------- TOP VIEWER QUESTIONS: See my Frequently Asked Questions master list at http://jangbricks.com/FAQ Q: When will this set be released? A: If I got it & reviewed it, I bought it & it's released. Q: Do you review free products given to you by manufacturers or vendors? A: No. Again, if I got it & reviewed it, I bought it. Q: Where/how did you get this? How do you get sets "early?" A: I still bought it. See http://jangbricks.com/early Q: First!? 2nd comment? 345th viewer? Early squad? A: Comments are hand-moderated & pointless number-spam is deleted, persistent offenders blocked or shadowbanned. I value *real* comments, as do other viewers. Q: When will the next update video about your [layout/creation/anything] be posted? A: The next time it is updated enough to warrant a new video. There's no pre-set schedule. Q: Can you show your studio setup? How do you do your background & item spins? A: See http://goo.gl/wzQNMk Q: It's [X] o'clock, why are you posting? A: It's [X] o'clock, why are you posting about me posting? Q: Will you sell/trade/give me something from your videos? A: I only donate to charities & don’t sell to the public. See http://goo.gl/BgOhl4 Q: Have you a done a video about [some set]? A: Search for "jangbricks [name of the set]" to quickly see if I have what you're looking for. Q: Any tips for new YouTube channels? A: Yes! http://jangbricks.com/youtube-tips Q: This video was just uploaded; how are there comments from days ago? Bug? Hacks? Exploits? A: Youtube's "uploaded on" text is wrong, is all. The video was just previously unlisted & linked from my blog and/or social media. Q: Can I use your music? A: No, it is paid, licensed material that is illegal to copy. * I have ZERO tolerance for disrespect, harassment, threats, cyber-bullying, racism, sexism, homophobic attacks, foul language, and spam on my channels. Comments are actively moderated and abusive users are reported & blocked/shadowbanned to protect viewers of all ages. Keep it civil, keep it respectful. --------------------------------- I am not employed by or under contract with any manufacturer or vendor to create content to promote their products or services. The opinions I express are mine and mine alone and not for sale for any price. Ads, when shown, are selected & placed by YouTube/Google itself based upon their algorithms and your viewing history.
Views: 30722 JANGBRiCKS
OnePlus 6 Unboxing - Is This The One?
 
05:44
Unboxing The OnePlus 6. The OnePlus 6 is the latest flagship device from OnePlus. The OnePlus 6 will ship in three color options, Mirror Black, Midnight Black and Silk White. My comprehensive OnePlus 6 video is in the works. Stay tuned! _________________________________________ WATCH SOME MORE VIDEOS... The ULTIMATE $30,000 Gaming PC Setup https://youtu.be/r-3iathMo7o?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Get The OnePlus 6 EARLY! https://youtu.be/yCxwmH3psxg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Should You Buy The Samsung Galaxy S9? https://youtu.be/SIR67et5tcs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The True All-Screen Smartphone is Here... https://youtu.be/sYvH7Y16iUM?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The TRUTH About Smartphones in 2018 https://youtu.be/1kllbOrLfoo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 World's Biggest Fortnite Gaming Setup! https://youtu.be/8x7UtZKwfHA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Weirdest Phones In The World... https://youtu.be/o6T9mUq9Vgo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Coolest Smartphone You'll Never Touch... https://youtu.be/5M3mKgLTn3Q?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 I'm Switching To The Samsung Galaxy S9 https://youtu.be/8g-VjqONplA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Most Expensive iPhone I've Ever Seen... https://youtu.be/JUi3psxB3QA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Limited Smartphone You Never Knew Existed... https://youtu.be/SMLgNZYW3XE?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Almost All-Screen Smartphone... https://youtu.be/jAq9RV3k9Qc?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 TOP SECRET SMARTPHONE DELIVERY https://youtu.be/BNnFgT_CAEE?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The iPhone X Home Button... Is This Real Life? https://youtu.be/Vz_EE5Ta9ZA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Fortnite on an INSANE $20,000 Gaming PC https://youtu.be/Pvakr7s7qc0?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The $200 Smartphone You NEED To Know About... https://youtu.be/uxLOfjaWRvw?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 This New Smartphone Is NOT What It Looks Like... https://youtu.be/r8vFZ0HAaz0?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Is The Samsung Galaxy S9 Worth The Hype? https://youtu.be/g30Rhk82rmg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 3 Unique Gadgets You Wouldn't Expect To Exist https://youtu.be/z5ydE6qQqZU?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Worst Gadget EVER On Unbox Therapy... https://youtu.be/ZOFoPTAqZlQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Worst Text You Could Ever Receive... https://youtu.be/HUE9mCN7sek?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Essential Phone Is Back! https://youtu.be/ZxOmJfCEgoc?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 What If You Could Get AirPods For Only $40? https://youtu.be/6N5V_7_n1uI?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 I Bought The Cheapest Smartphone on Amazon... https://youtu.be/YkGAg9WmYBs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 3 Unique Gadgets You Can Buy Right Now https://youtu.be/Yzsf9SECcEo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 DON'T Buy The Google Pixel Buds https://youtu.be/lGkrhR2mfl8?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 How To Turn Any Android Phone Into An iPhone... https://youtu.be/14pYNywLqDs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Is The LG V30 The Most Underrated Smartphone? https://youtu.be/YsWIHhKmmvY?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Best Wireless Headphones You Can Buy Right Now https://youtu.be/SXyObZahu-o?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Unboxing The Samsung Galaxy S9 Clone https://youtu.be/1xgbmrsgrq4?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 It Has Double The Battery of iPhone X https://youtu.be/8Np9Kk82-zA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Mind Blowing 33 Million Pixel Display... https://youtu.be/OKAU1Xx59ho?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 5 Cool Gadgets Under $10 https://youtu.be/hNrSNrEVpkQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Which Smartphone Do They ACTUALLY Use? --- MKBHD, Austin Evans, Linus + More https://youtu.be/Hi2tjMLVpdQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Unboxing The World's Smallest Phone https://youtu.be/SSzyGCjH88o?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Most RIDICULOUS MacBook Pro https://youtu.be/46qTg3swoEo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 A Message from Apple... https://youtu.be/UiaqBdzCcBA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 4 Unique iPhone Accessories https://youtu.be/uZgnXJz_9DM?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 DON'T Buy The iPhone X https://youtu.be/2fGXDFiFBhg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 FOLLOW ME IN THESE PLACES FOR UPDATES Twitter - http://twitter.com/unboxtherapy Facebook - http://facebook.com/lewis.hilsenteger Instagram - http://instagram.com/unboxtherapy Google Plus - http://bit.ly/1auEeak
Views: 7021125 Unbox Therapy
Fetty Wap "679" feat. Remy Boyz [Official Video]
 
03:44
The official Fetty Wap "679" music video featuring Remy Boyz. Record produced by Peoples. Download "679" http://flyt.it/679 Stream "Bruce Wayne" the mixtape OUT NOW: https://ffm.to/brucewayne Download Fetty Wap's "Trap Queen" single here: http://flyt.it/TrapQueen ►Website: http://www.fettywap.com/ ►Instagram: https://instagram.com/FettyWap1738/ ►Twitter: https://twitter.com/fettywap ►Facebook: https://www.facebook.com/pages/Fetty-Wap/398037297030118
Views: 326152926 Harlem Fetty
Rammstein - Sonne (Official Video)
 
04:13
► Website: http://www.rammstein.com ► Shop: http://shop.rammstein.de Premiere: January 29, 2001 Shoot: 13th to 15th January, 2001 Location: Babelsberger Filmstudio, Potsdam Director: Jörn Heitmann Single: Sonne From the Album: Mutter The video shoot for the song SONNE was produced in Potsdam at Babelsberger Filmstudios from the 13th to the 15th of January 2001. It was the first time Jörn Heitmann directed a Rammstein video. SONNE, the first single from the album MUTTER is released soon thereafter. Beside the original and an instrumental version of the song, the single contains the track ADIOS and two remixes by Clawfinger. Biography: Rammstein was formed in 1993 by an ensemble of factory-weary proletarians raised in East Germany. They took their name (adding an "m") from the location of a German tragedy where 80 people were injured and killed as the result of a crash during an American Air Force air show. The literal translation of "Ram Stein" is a battering ram made of stone. Word of Rammstein's horror/romanticist blend of theater and music - spread quickly - one-time Olympic swimmer Till Lindemann would sometimes sing entire songs engulfed in flame from head to toe. The band's first album, HERZELEID (English: Heartache), elaborated on the foundations set by the band's live reputation. Scaling the German charts, and remaining there until the release of the second Rammstein LP some two years later, the album also introduced the band to the world outside of the Germany/Switzerland/Austria region. As Rammstein's second album, SEHNSUCHT (English: Longing), was released, the band was playing headlines shows across Europe to crowds of 10,000 to 30,000 people. SEHNSUCHT entered the German charts at number one immediately upon its release and came very close to doing the same in Austria and Switzerland. Within weeks, entries on other countries' charts had SEHNSUCHT rubbing elbows with The Prodigy, Radiohead, and The Rolling Stones on Billboard's cumulative Eurochart. From there the fever spread, transcending any perceived language barrier. MUTTER followed in 2001, REISE, REISE in 2004, and the live collection VOLKERBALL in 2006. LIEBE IST FÜR ALLE DA followed in 2009. A limited edition of the album was packed in a metal suitcase that also housed six sex toys, one for each member of the band. ~ Ed Nimmervoll, Rovi
Views: 111854396 Rammstein Official
Rapping, deconstructed: The best rhymers of all time
 
12:44
Here's how some of the greatest rappers make rhymes Special thanks to the research of Martin Connor who was interviewed in this piece. More of his rap analysis can be found here: http://www.rapanalysis.com/ SPOTIFY PLAYLIST: https://open.spotify.com/user/estellecaswell/playlist/5KpHR1UysAms2zssDHeSbZ Subscribe to our channel! http://goo.gl/0bsAjO Vox.com is a news website that helps you cut through the noise and understand what's really driving the events in the headlines. Check out http://www.vox.com to get up to speed on everything from Kurdistan to the Kim Kardashian app. Check out our full video catalog: http://goo.gl/IZONyE Follow Vox on Twitter: http://goo.gl/XFrZ5H Or on Facebook: http://goo.gl/U2g06o
Views: 6705932 Vox
Imagine Dragons - Thunder
 
03:24
Listen to "Thunder," out now: http://smarturl.it/ThunderID Director: Joseph Kahn Producers: Jil Hardin Nathan de la Rionda Charleen Manca Production Company: Supply & Demand Thank you to the city of Dubai Choreography by Aaron Sillis Dancers: Gianna Gi Instagram: giannagi_ Haroon Al Abdali Instagram: haroonkilla Mamadou Bathily alias Bats Instagram: batstreet Follow Imagine Dragons: Facebook: https://www.facebook.com/ImagineDragons/ Twitter: https://twitter.com/Imaginedragons Instagram: https://www.instagram.com/imaginedrag… Music video by Imagine Dragons performing Thunder. (C) 2017 KIDinaKORNER/Interscope Records http://vevo.ly/jrxnGn
Views: 904943543 ImagineDragonsVEVO
Netta - TOY - Israel - Official Music Video - Eurovision 2018
 
03:06
Add or download the song to your own playlist: https://ESC2018.lnk.to/Eurovision2018EY Sing along with the karaoke versions: https://ESC2018.lnk.to/KaraokeID Or buy the official CD: https://ESC2018.lnk.to/Eurovision2018AlbumID Netta will represent Israel at the 2018 Eurovision Song Contest in Lisbon with the song TOY If you want to know more about the Eurovision Song Contest, visit https://eurovision.tv
Views: 92765957 Eurovision Song Contest
Bon Jovi - Livin' On A Prayer
 
04:09
Music video by Bon Jovi performing Livin' On A Prayer. (C) 1986 The Island Def Jam Music Group
Views: 486267300 BonJoviVEVO
Machine learning powered metabolomic network analysis
 
41:51
Metabolomic network analysis can be used to interpret experimental results within a variety of contexts including: biochemical relationships, structural and spectral similarity and empirical correlation. Machine learning is useful for modeling relationships in the context of pattern recognition, clustering, classification and regression based predictive modeling. The combination of developed metabolomic networks and machine learning based predictive models offer a unique method to visualize empirical relationships while testing key experimental hypotheses. The following presentation focuses on data analysis, visualization, machine learning and network mapping approaches used to create richly mapped metabolomic networks. Learn more at www.createdatasol.com slides:https://www.slideshare.net/dgrapov/machine-learning-powered-metabolomic-network-analysis
Views: 495 Dmitry Grapov
Sargeras and the Old Gods! Strategists or Fools?
 
19:40
We take a closer look at Sargeras and the Old Gods and who will ultimately win the fight moving into Battle for Azeroth. Sub-Reddit: https://www.reddit.com/r/theaccolonn/ New Viewer Discord: https://discord.gg/T55xcAN 💲Accolonn's Store: https://teespring.com/stores/accolonns-bits-and-bobs 💲Donations: https://youtube.streamlabs.com/theaccolonn 💲Patreon: https://www.patreon.com/theaccolonn ❤Buy the games I play❤ Green man gaming: https://goo.gl/2LLBPT 😀Contact me😀 Discord: https://discord.gg/T55xcAN Minds: https://www.minds.com/register?referrer=TheAccolonn Contact me on: [email protected] Grima's Warlock Covern: https://discord.gg/wXreJf Twitch: https://www.twitch.tv/accolonn Twitter: https://twitter.com/theaccolonn Facebook: https://www.facebook.com/The-Accolonn *My Weakauras:* Weakauras: https://wago.io/p/Accolonn Lore Videos you might like: Azeroth is NOT a Titian: https://youtu.be/dYqUv_25Y3g We Lost: https://youtu.be/Dvm3IsCZUxg Who do we Serve: https://youtu.be/b09PUNg7J2Q *Games I play:* World of Warcraft Diablo 3 PlayerUnknown's Battlegrounds League of Legends -~-~~-~~~-~~-~- Please watch: "Why I Want To Leave South Africa As Soon As Possible!" https://www.youtube.com/watch?v=mbDHPzD_-2E -~-~~-~~~-~~-~-
Views: 3030 Accolonn
Luis Fonsi, Demi Lovato - Échame La Culpa
 
03:31
“Échame La Culpa” disponible ya en todas las plataformas digitales: https://umle.lnk.to/ELCFp ”Échame La Culpa” available now on all digital platforms: https://umle.lnk.to/ELCFp Music video by Luis Fonsi, Demi Lovato performing Échame La Culpa. (C) 2017 UMG Recordings, Inc. http://vevo.ly/FgY9ro
Views: 1608448252 LuisFonsiVEVO
Rammstein - Mein Teil (Official Video)
 
04:35
► Website: http://www.rammstein.com ► Shop: http://shop.rammstein.de Premiere: July 9th, 2004 Shoot: June 2nd and June 3rd, 2004 Location: Arena in Treptow, outdoor shoot in front of the Deutsche Oper in Berlin Director: Zoran Bihać Single: Mein Teil From the album: Reise, Reise The new single MEIN TEIL contained two remixes by the Pet Shop Boys and one by Arthur Baker, as well as the original version of the song. MEIN TEIL was also released on vinyl. Biography: Rammstein was formed in 1993 by an ensemble of factory-weary proletarians raised in East Germany. They took their name (adding an "m") from the location of a German tragedy where 80 people were injured and killed as the result of a crash during an American Air Force air show. The literal translation of "Ram Stein" is a battering ram made of stone. Word of Rammstein's horror/romanticist blend of theater and music - spread quickly - one-time Olympic swimmer Till Lindemann would sometimes sing entire songs engulfed in flame from head to toe. The band's first album, HERZELEID (English: Heartache), elaborated on the foundations set by the band's live reputation. Scaling the German charts, and remaining there until the release of the second Rammstein LP some two years later, the album also introduced the band to the world outside of the Germany/Switzerland/Austria region. As Rammstein's second album, SEHNSUCHT (English: Longing), was released, the band was playing headlines shows across Europe to crowds of 10,000 to 30,000 people. SEHNSUCHT entered the German charts at number one immediately upon its release and came very close to doing the same in Austria and Switzerland. Within weeks, entries on other countries' charts had SEHNSUCHT rubbing elbows with The Prodigy, Radiohead, and The Rolling Stones on Billboard's cumulative Eurochart. From there the fever spread, transcending any perceived language barrier. MUTTER followed in 2001, REISE, REISE in 2004, and the live collection VOLKERBALL in 2006. LIEBE IST FÜR ALLE DA followed in 2009. A limited edition of the album was packed in a metal suitcase that also housed six sex toys, one for each member of the band. ~ Ed Nimmervoll, Rovi
Views: 32325221 Rammstein Official
Ariana Grande Carpool Karaoke
 
13:08
James and Ariana Grande give each other a lift across Los Angeles, singing songs off her new album "Sweetener," channeling some Celine Dion and settling the score on whether Ariana is physically carried wherever she goes (she isn't). More Late Late Show: Subscribe: http://bit.ly/CordenYouTube Watch Full Episodes: http://bit.ly/1ENyPw4 Facebook: http://on.fb.me/19PIHLC Twitter: http://bit.ly/1Iv0q6k Instagram: http://bit.ly/latelategram Watch The Late Late Show with James Corden weeknights at 12:35 AM ET/11:35 PM CT. Only on CBS. Get new episodes of shows you love across devices the next day, stream live TV, and watch full seasons of CBS fan favorites anytime, anywhere with CBS All Access. Try it free! http://bit.ly/1OQA29B --- Each week night, THE LATE LATE SHOW with JAMES CORDEN throws the ultimate late night after party with a mix of celebrity guests, edgy musical acts, games and sketches. Corden differentiates his show by offering viewers a peek behind-the-scenes into the green room, bringing all of his guests out at once and lending his musical and acting talents to various sketches. Additionally, bandleader Reggie Watts and the house band provide original, improvised music throughout the show. Since Corden took the reigns as host in March 2015, he has quickly become known for generating buzzworthy viral videos, such as Carpool Karaoke."
blink-182 - Stay Together For The Kids
 
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Listen to more from Blink-182: https://lnk.to/Blink182 Discover more about this classic song and the Take Off Your Pants And Jacket album here: https://www.udiscovermusic.com/stories/rediscover-take-off-your-pants-and-jacket Stream a playlist of their biggest tracks: http://playlists.udiscovermusic.com/playlist/blink-182-best-of-1 Experience Blink-182 on Vinyl LP: https://lnk.to/Blink182Store Follow Blink-182 https://en-gb.facebook.com/blink182/ https://twitter.com/blink182 https://www.instagram.com/blink182/ https://www.blink182.com/ Music video by blink-182 performing Stay Together For The Kids. (C) 2001 Geffen Records
Views: 53070228 blink182VEVO
ALL 45 Data Fragment Locations Walkthrough! Destiny 2 Warmind Guide (Exotic Sword & Sparrow)
 
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Hey guys, today I'll be showing you all a walkthrough of all 45 data fragment or data cache locations within hellis basin on mars. These 45 data fragments open two loot caches which contain an exotic sword called the worldline zero for 35 data caches and an exotic sparrow for 45 data caches. The warmind expansion is pretty superb so far but we're only getting started! Enjoy the video ▶ Use code "nKuch" for 5% off all ScufGaming products! https://scufgaming.com ▶ Use code "Primal" for 10% off all GFuel products! http://gfuel.com/ ★ Social Media Links ★ ✅ Follow me on Twitch! https://www.twitch.tv/nKuch ✅ Follow me on Twitter! https://twitter.com/nKuchGaming ✅ Follow me on Instagram! https://www.instagram.com/nKuch ★ Music Credits ★ Background music: ES Blurred Out - Yomoti
Views: 777966 nKuch
Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka
 
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** Python Data Science Training : https://www.edureka.co/python ** This Edureka Video on Time Series Analysis n Python will give you all the information you need to do Time Series Analysis and Forecasting in Python. Below are the topics covered in this tutorial: 1. Why Time Series? 2. What is Time Series? 3. Components of Time Series 4. When not to use Time Series 5. What is Stationarity? 6. ARIMA Model 7. Demo: Forecast Future Subscribe to our channel to get video updates. Hit the subscribe button above. Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm #timeseries #timeseriespython #machinelearningalgorithms - - - - - - - - - - - - - - - - - About the Course Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR. During our Python Certification Training, our instructors will help you to: 1. Master the basic and advanced concepts of Python 2. Gain insight into the 'Roles' played by a Machine Learning Engineer 3. Automate data analysis using python 4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 6. Explain Time Series and it’s related concepts 7. Perform Text Mining and Sentimental analysis 8. Gain expertise to handle business in future, living the present 9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, please write back to us at [email protected] Call us at US: +18336900808 (Toll Free) or India: +918861301699 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 14910 edureka!
Arctic Monkeys - R U Mine? (Official Video)
 
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Arctic Monkeys - 'R U Mine?' from 'AM', released 2013 on Domino Record Co. Subscribe to Arctic Monkeys on YouTube: http://bit.ly/ArcticMonkeysYT Buy ‘AM’ CD/LP: http://smarturl.it/ArcticStore Digital: http://bit.ly/AMAMi Stream & Save: http://bit.ly/AMAMSP Arctic Monkeys’ new album ‘Tranquility Base Hotel & Casino’ is out now on Domino Record Co. Buy & listen: http://smarturl.it/TranquilityBase Follow Arctic Monkeys: Newsletter: http://smarturl.it/ArcticSubscribe Spotify: http://smarturl.it/TBHCSave YouTube: http://bit.ly/ArcticMonkeysYT Facebook: http://smarturl.it/ArcticFB Twitter: http://smarturl.it/ArcticTW Instagram: http://smarturl.it/ArcticIN Follow Domino Record Co: YouTube: http://smarturl.it/DominoYT Website: http://smarturl.it/DominoRecordCo Facebook: http://smarturl.it/DominoFB Twitter: http://smarturl.it/DominoTW Instagram: http://smarturl.it/DominoIN
Views: 210169657 Official Arctic Monkeys
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 24949 GoogleTechTalks
Dynamic Time Warping DTW for Time Series Analysis
 
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Dynamic Time Warping (DTW) is a similarity comparison technique used for Time Series Analysis. This graph shows two time series on the x and y axes, which are being compared. The grey areas are computed using a distance function - white indicates that the two time series were similar at that point, black shows the time series were not similar at that point. These time series were quite similarly related to each other, so there is a white area diagonally across from bottom left to top right. The red line shows the computer calculated 'shortest path' avoiding the dark areas on the grid. Starting in bottom left corner, the red line path is computed by choosing to move one pixel at a time, either right or up, depending on which square is the whitest. The two time series are effectively stretched or compressed to align the features within the two time series.
Views: 1936 Neil Vaughan
Minecraft: POPULARMMOS VS GAMINGWITHJEN CHALLENGE GAMES - Lucky Block Mod - Modded Mini-Game
 
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The Youtuber Challenge Games begin and it is Popularmmos Vs GamingWithJen! Jen's Channel http://youtube.com/gamingwithjen Don't forget to subscribe for epic Minecraft content! Shirts! https://represent.com/store/popularmmos/ Facebook! https://www.facebook.com/pages/PopularMMOs/327498010669475 Twitter! https://twitter.com/popularmmos Download Youtubers Lucky Block Mod http://popularmmos.com/youtubersluckyblock/ RULES - Start with 25 Lucky Blocks, , 10 apples, Iron Pickaxe, 10 Egg Scoopers, & Crafting Table - Open all of them and trade for the best items you can - Do not take items or blocks from the world unless they came from your block - You may only craft gear up to Iron, everything else must be traded - 1 Hit Kill Swords can only be used once per battle - No Penalty for dying before the battle begins - You may give items to the other player - Beacons from Wells not allowed - The loser from last time chooses which blocks they want - The loser is the one who dies in the battle first - Rounds go best out of 5 matches, meaning 3 wins is all you need - Use the Arena to your advantage, but no placing blocks except TNT In this Popularmmos Vs Gamingwithjen Challenge Games Modded Mini-Game: We fight it out with Popularmmos Lucky Blocks against Gamingwithjen Lucky Blocks! Who has the best blocks!? Intro by: https://www.youtube.com/calzone442 Intro song: Spag Heddy - Pink Koeks provided by Play Me Records: https://www.youtube.com/user/playmerecords https://www.facebook.com/playmerecords Follow Spag Heddy: https://www.facebook.com/SpagHeddy http://soundcloud.com/spagheddy Royalty Free Music by http://audiomicro.com/royalty-free-music
Views: 12619739 PopularMMOs
Lost Kitties - "Who’z Hidin Inside?" Official Music Video 🐱
 
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It’s time to meet the Lost Kitties in their epic music video debut! Lost Kitties is the new adorable collection of mischievous little kitties with minds of their own and crazy-curious cat instincts. And with over 100 kitties to collect in 2018, there’s endless fun to discover. Get ready to rock and find out Who’z Hidin Inside! For more Lost Kitties: https://goo.gl/oRY2vi #Hasbro #LostKitties Subscribe to the Hasbro Channel: https://goo.gl/rI2HnR Official Hasbro Site: http://goo.gl/FXm7FD
Views: 2895409 Hasbro
Hans Zimmer - Interstellar - Main Theme (Piano Version) + Sheet Music
 
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🎵 Sheet Music ► http://mnot.es/2kntFGQ 🎹 Learn piano with flowkey ► http://tinyurl.com/patrik-flowkey 👍 Support my work on Patreon ► https://www.patreon.com/PatrikPietschmann Hans Zimmer - Interstellar - Main Theme Piano Version by Patrik Pietschmann Hi, my name is Patrik Pietschmann, I'm a keyboard player, arranger and hobby programmer from Germany. Since I am a huge fan of Hans Zimmer, I did an arrangement of his Main Theme from the "Interstellar" soundtrack. In this video I have tried to combine my live piano playing with the visualization of the music material by programming my own "Synthesia"-like software. Please subscribe to my channel if you like the video! :-)
Views: 27702836 Patrik Pietschmann
Animation vs. Minecraft (original)
 
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Behind the Scenes: https://youtu.be/YSzrf195IAk Stick figures on a computer find a Minecraft cube. The Animator vs. Animation series continues, this time without the animator. watch number 1: http://youtu.be/npTC6b5-yvM watch number 2: http://youtu.be/nxM1cnphLpw watch number 3: http://youtu.be/PCtr04cnx5A watch number 4: https://youtu.be/VufDd-QL1c0 Music by Sarah Eide https://www.facebook.com/SarahEideMusic http://www.thesugarbirdnest.com Alan Becker's Patreon Page: http://www.patreon.com/alanbecker Alan Becker Twitter: http://twitter.com/alanthebecker Alan Becker Facebook: http://facebook.com/alanthebecker Alan Becker Website: http://alanbecker.net Alan Becker's Animation Tutorials: http://youtube.com/alanbeckertutorials Alan Becker in Minecraft: http://youtube.com/alanbeckerminecraft Alan Becker on Twitch: http://www.twitch.tv/alan_becker Make a donation: http://www.alanbecker.net/donate Alan Becker's T-shirts: http://shrsl.com/?~81ql
Views: 108752811 Alan Becker
ZipGrade 1.3 - Grade Tests With Your iPhone
 
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Download free in the Apple app store: http://zipgrade.com/get Check out new features to ZipGrade: * 50 Question Answer Sheet * Identifies students by ID number * More user defined settings
Views: 93826 VboxApps