Search results “Black box text mining with r”
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data Scientist, Aviva
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: 12401 H2O.ai
Support Vector Machine (SVM) with R - Classification and Prediction Example
Includes an example with, - brief definition of what is svm? - svm classification model - svm classification plot - interpretation - tuning or hyperparameter optimization - best model selection - confusion matrix - misclassification rate Machine Learning videos: https://goo.gl/WHHqWP svm is an important machine learning tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 34829 Bharatendra Rai
What Is The Meaning Of Text Mining?
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
Support Vector Machines (SVM) Overview and Demo using R
Quick overview and examples /demos of Support Vector Machines (SVM) using R. The getting started with SVM video covers the basics of SVM machine learning algorithm and then finally goes into a quick demo
Views: 56756 Melvin L
Is Neural Network Really the Black Box? | Cypher 2017 | Machine Learning | AI | Great Learning
#NeuralNetwork | Know more about our Business Analytics Program: http://bit.ly/2CvA1IQ Dr P K Viswanathan, Program Director- PGP-BABI at Great Lakes Institute of Management, unravels whether Neural Network is really a Black Box or is it just a White Box. Understand what the Black Box Conundrum is and what are its pros and cons. He also unfolds the black box conundrum with the help of multiple real-life problems. #GreatLearning #DeepLearning #MachineLearning #AI ------------------------------------------ Post Graduate Program in Business Analytics (PGP-BABI): The PGP-BABI offered by Great Lakes at Chennai, Gurgaon, Bangalore, Hyderabad, Mumbai and Pune cities is a 12 month blended (online + weekend classroom) program that covers a blend of business management skills and analytics capability with hands-on training on tools, real-life case studies that make candidates industry ready for business roles in analytics. Our PGP-BABI course has been ranked No.1 third time in a row by leading analytics site - Analytics India Magazine. The program is designed exclusively for working professionals ranging from young executives who wish to embark on managerial careers in analytics to senior industry leaders who wish to add analytics capabilities to grow their businesses. About Great Learning: Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U Do you know what the three pillars of Data Science? Here explaining all about thepillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: Google Plus: https://plus.google.com/u/0/108438615307549697541 Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 298 Great Learning
Social Media Data Mining With Raspberry Pi (Part 4: Installing R)
This video -- tailored for beginnners and non-specialists -- is fourth in a series that walks through all the steps necessary to mine and analyze social media data using the inexpensive computer called a Raspberry Pi. Part 4 demonstrates how to update lists of available software through the sudo apt-get update command, how to install R software on the Raspberry Pi, and how to very basically run R either directly or through scripts written using the PICO text editor.
Views: 2835 James Cook
"Why Should I Trust you?" Explaining the Predictions of Any Classifier
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: 9035 KDD2016 video
KDD2016 paper 573
Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of Washington Sameer Singh, University of Washington Carlos Guestrin, University of Washington Abstract: Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust in a model. Trust is fundamental if one plans to take action based on a prediction, or when choosing whether or not to deploy a new model. Such understanding further provides insights into the model, which can be used to turn 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 further 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). The usefulness of explanations is shown via novel experiments, both simulated and with human subjects. Our explanations empower users in various scenarios that require trust: deciding if one should trust a prediction, choosing between models, improving an untrustworthy classifier, and detecting why a classifier should not be trusted. More on http://www.kdd.org/kdd2016/ KDD2016 Conference will be recorded and published on http://videolectures.net/
Views: 45578 KDD2016 video
Touchdown Localisation with aircraft flight data - Jonathan G. Pelham
PyData London 2018 How to take data from an aircraft black box and use it in the real world to improve landing safety using python. A discussion of methods, data quality, and finding solutions. --- 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: 295 PyData
Neuro Symbolic AI for Sentiment Analysis - Michael Malak
"Learn to supercharge sentiment analysis with neural networks and graphs. Neural networks are great at automated black-box pattern recognition, graphs at encoding and human-readable logic. Neuro-symbolic computing promises to leverage the best of both. In this session, you will see how to combine an off-the-shelf neuro-symbolic algorithm, word2vec, with a neural network (Convolutional Neural Network, or CNN) and a symbolic graph, both added to the neuro-symbolic pipeline. The result is an all-Apache Spark text sentiment analysis more accurate than either neural alone or symbolic alone. Although the presentation will be highly technical, high-level concepts and data flows will be highlighted and visually explained for the more casual attendees. Technologies used include MLlib, GraphX, and mCNN (from spark-packages.org) will be highlighted and visually explained for the more casual attendees. Technologies used: MLlib, GraphX, and mCNN (from spark-packages.org) Session hashtag: #SFr12"
Views: 512 Databricks
Imagine Dragons - Natural (Lyrics)
Get Origins, ft. Natural, Zero, Machine and Bad Liar, out now: http://smarturl.it/OriginsID Shop Imagine Dragons: http://smarturl.it/ImagineDragonsShop Sign up for email updates: http://smarturl.it/ID_Email Listen to Imagine Dragons on Spotify: http://smarturl.it/ID_Discography Catch Imagine Dragons on tour: http://imaginedragonsmusic.com/tour Follow Imagine Dragons: Facebook: https://www.facebook.com/ImagineDragons Twitter: https://twitter.com/Imaginedragons Instagram: https://www.instagram.com/imaginedragons LYRICS Will you hold the line, when every one of them has given up and given in, tell me In this house of mine Nothing ever comes without a consequence or cost tell me Will the stars align Will heaven step in will it save us from our sin, will it? ‘Cause this house of mine stands strong That's the price you pay Leave behind your heart and cast away Just another product of today Rather be the hunter than the prey And you're standing on the edge face up ‘Cause you’re a natural A beating heart of stone You gotta be so cold To make it in this world Yeah you’re a natural Living your life cutthroat You gotta be so cold Yeah you’re a natural Will somebody, let me see the light within the dark trees shadowing What’s happenin? Looking through the glass find the wrong within the past knowing We are youth Cut until it bleeds inside a world without the peace, face it. A bit of the truth, the truth That's the price you pay Leave behind your heart and cast away Just another product of today Rather be the hunter than the prey And you're standing on the edge face up ‘Cause you’re a natural A beating heart of stone You gotta be so cold To make it in this world Yeah you’re a natural Living your life cutthroat You gotta be so cold Yeah you’re a natural Deep inside me I’m fading to black I’m fading Took an oath by the blood of my hand, won’t break it I can taste it the end is upon us I swear gonna make it I’m gonna make it Natural A beating heart of stone You gotta be so cold To make it in this world Yeah you’re a natural Living your life cutthroat You gotta be so cold Yeah you’re a natural Music video by Imagine Dragons performing Natural. © 2018 KIDinaKORNER/Interscope Records http://vevo.ly/JLrG1u
Views: 71275725 ImagineDragonsVEVO
Advanced Data Mining with Weka (3.3: Using R to plot data)
Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 3: Using R to plot data http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/8yXNiM https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3605 WekaMOOC
Rammstein - Sonne (Official Video)
► 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: 127663564 Rammstein Official
Daniel Radcliffe Raps Blackalicious' "Alphabet Aerobics"
Jimmy challenges hip-hop lover Daniel Radcliffe to rap Blackalicious' tongue-twisting "Alphabet Aerobics." Subscribe NOW to The Tonight Show Starring Jimmy Fallon: http://bit.ly/1nwT1aN Watch The Tonight Show Starring Jimmy Fallon Weeknights 11:35/10:35c Get more Jimmy Fallon: Follow Jimmy: http://Twitter.com/JimmyFallon Like Jimmy: https://Facebook.com/JimmyFallon Get more The Tonight Show Starring Jimmy Fallon: Follow The Tonight Show: http://Twitter.com/FallonTonight Like The Tonight Show: https://Facebook.com/FallonTonight The Tonight Show Tumblr: http://fallontonight.tumblr.com/ Get more NBC: NBC YouTube: http://bit.ly/1dM1qBH Like NBC: http://Facebook.com/NBC Follow NBC: http://Twitter.com/NBC NBC Tumblr: http://nbctv.tumblr.com/ NBC Google+: https://plus.google.com/+NBC/posts The Tonight Show Starring Jimmy Fallon features hilarious highlights from the show including: comedy sketches, music parodies, celebrity interviews, ridiculous games, and, of course, Jimmy's Thank You Notes and hashtags! You'll also find behind the scenes videos and other great web exclusives. Daniel Radcliffe Raps Blackalicious' "Alphabet Aerobics" http://www.youtube.com/fallontonight
ROC Curves and Area Under the Curve (AUC) Explained
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). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 277377 Data School
Imagine Dragons – Thunder (Lyrics) 🎵
"Imagine Dragons – Thunder (Lyrics) 🎵" Hit the 🔔 to join the notification squad! 8D Audio Playlist: https://goo.gl/Uqikya Support Pixl Networks http://snapchat.com/add/pixlnetworks http://instagram.com/pixlnetworks http://open.spotify.com/user/pixlnetworks http://facebook.com/pixlnetworks http://twitter.com/pixlnetworks http://soundcloud.com/pixlnetworks http://discord.gg/pixlnetworks Support Imagine Dragons http://facebook.com/imaginedragons http://twitter.com/imaginedragons Artwork by t1na http://t1na.deviantart.com/art/The-Guardian-642792323 Thunder (Lyrics) Imagine Dragons: [Verse 1] Just a young gun with a quick fuse I was uptight, wanna let loose I was dreaming of bigger things in Wanna leave my own life behind Not a yes sir, not a follower Fit the box, fit the mold Have a seat in the foyer, take a number I was lightning before the thunder [Chorus] Thunder, feel the thunder Lightning and the thunder Thunder, feel the thunder Lightning and the thunder Thunder, thunder Thunder [Verse 2] Kids were laughing in my classes While I was scheming for the masses Who do you think you are Dreaming 'bout being a big star? You say you're basic, you say you're easy You're always riding in the back seat Now I'm smiling from the stage While you were clapping in the nose bleeds [Chorus] Thunder, feel the thunder Lightning and the thunder Thunder, feel the thunder Lightning and the thunder Thunder [Bridge] Thunder, feel the thunder Lightning and the thunder, thunder [Chorus] Thunder, feel the thunder Lightning and the thunder, thunder Thunder, feel the thunder Lightning and the thunder, thunder Thunder, feel the thunder Lightning and the thunder, thunder Thunder, feel the thunder Lightning and the thunder, thunder Pixl Networks is an independent music network showcasing high-quality music from major labels as well as rising artists. Subscribe to this channel to be updated with the latest songs.
Views: 46796838 Pixl Networks
Text Analytics Challenges
Text Analytics Challenges
Views: 245 DecoodaTV
Deep Learning im Umfeld des Text Mining - inovex Meetups
https://www.inovex.de - Dr. Alexander Löser von der Beuth Hochschule für Technik Berlin zeigt in seinem Vortrag, wie Methoden des Deep Learning im Text Mining eingesetzt werden können.
Views: 567 inovex GmbH
How SVM (Support Vector Machine) algorithm works
In this video I explain how SVM (Support Vector Machine) algorithm works to classify a linearly separable binary data set. The original presentation is available at http://prezi.com/jdtqiauncqww/?utm_campaign=share&utm_medium=copy&rc=ex0share
Views: 502110 Thales Sehn Körting
Mikhail Korobov - Explaining behavior of Machine Learning models with eli5 library
"Explaining behavior of Machine Learning models with eli5 library [EuroPython 2017 - Talk - 2017-07-13 - Anfiteatro 2] [Rimini, Italy] ML estimators don't have to be black boxes. Interpretability has many benefits: it is easier to debug interpretable models, humans trust decisions of such models more. In this talk I’ll give an overview of ML models interpretation and debugging techniques. I’ll cover linear models, decision trees, tree ensembles, arbitrary classifiers using LIME algorithm. The talk focus is on explanation algorithms, because it is important to be aware of pitfalls and limitations of the explanation method to be able to interpret an explanation correctly. I’ll also show how to use these techniques in practice, to debug and explain behavior of estimators from Python ML libraries like scikit-learn and xgboost using open-source eli5 library: https://github.com/TeamHG-Memex/eli5 . Attendees will get both practical and theoretical understanding of these explanation methods. Target audience is ML practitioners who want to 1) get a better quality from their ML pipelines - understanding of why a wrong decision happens is often a first step to improve the quality of an ML solution; 2) explain ML model behavior to clients or stakeholders - inspectable ML pipelines are easier to “sell” to a client; humans trust such models more because they can check if an explanation is consistent with their domain knowledge or gut feeling, understand better shortcomings of the solution and make a more informed decision as a result. License: This video is licensed under the CC BY-NC-SA 3.0 license: https://creativecommons.org/licenses/by-nc-sa/3.0/ Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/
Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka
** 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] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 41470 edureka!
SAS® Text Analytics Software Demo
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: 24145 SAS Software
How To Install Kali Linux in VirtualBox
in this video I am going to show you How to install Kali Linux in Virtualbox : Step-by-step . This is A detailed guide on installing Kali Linux on VirtualBox. I am going to show How to Install Kali Linux 2016 + Guest Additions on VirtualBox. This video will show you the easy way to Install Kali linux 2.0 on Virtualbox Step by Step Install Kali LInux 2 in VirtualBox, Installing Kali Linux 2016.1 on VirtualBox. -------------------Online Courses to learn---------------------------- Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Python Certification Training for Data Science - http://bit.ly/2BB3PV8 Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter
Views: 666178 ProgrammingKnowledge
Nicki Minaj - Barbie Dreams
Barbie Dreams (Official Video) Stream / Download Album “Queen” Here: https://nickiminaj.lnk.to/queenYD Connect with Nicki: https://www.instagram.com/nickiminaj https://twitter.com/NICKIMINAJ https://www.facebook.com/nickiminaj/ https://www.mypinkfriday.com/ Video Director: Hype Williams Video Producers: Hype Williams & Keith Brown Video Editor: Eric Hughes for HW Worldwide Music video by Nicki Minaj performing Barbie Dreams. © 2018 Young Money/Cash Money Records http://vevo.ly/aB1cvS
Views: 77044884 NickiMinajAtVEVO
Getting Started with Deep Learning Models in R using Google Cloud and RStudio (Cloud Next '18)
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. MLAI240 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: 2311 Google Cloud Platform
Stream "SLOW DANCING IN THE DARK": https://88rising.lnk.to/SDITD BALLADS 1 is out now: https://88rising.lnk.to/BALLADS1 BALLADS 1 vinyl, CDs & merch available at https://BALLADS1.com Produced by Patrick Wimberly & George Miller Music video directed by Jared Hogan Edited by Miles Trahan JOJI TOUR DATES Tickets: https://88rising.com/joji Oct 26 - Vancouver, BC - Pacific Coliseum Oct 27 - Seattle, WA - Showare Center Oct 31 - San Francisco, CA - Bill Graham Civic Auditorium Dec 06 - London, United Kingdom - Heaven Dec 08 - Paris, France - Le Trabendo Dec 09 - Amsterdam, Netherlands - Melkweg Oude Zaal (Early Show) Dec 09 - Amsterdam, Netherlands - Melkweg Oude Zaal (Late Show) Dec 10 - Berlin, Germany - Festsaal Kreuzberg Dec 12 - London, United Kingdom - Heaven Joji http://instagram.com/sushitrash http://twitter.com/sushitrash http://facebook.com/jojikansai 88rising http://instagram.com/88rising http://twitter.com/88rising http://facebook.com/88rising 88 is double happiness
Views: 37799172 88rising
Support Vector Machine Intro and Application  - Practical Machine Learning Tutorial with Python p.20
In this tutorial, we introduce the theory of the Support Vector Machine (SVM), which is a classification learning algorithm for machine learning. We also show how to apply the SVM using Scikit-Learn on some familiar data. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 85846 sentdex
Becky G - Becky from The Block (Official Music Video)
Download “Becky From The Block” on iTunes now: http://smarturl.it/BFTB?IQid=yt Check Out Becky G on Facebook.com/iambeckyg Twitter.com/iambeckyg Instagram.com/iambeckyg iambeckyg.com Music video by Becky G performing Becky from The Block. (C) 2013 Kemosabe Records #BeckyG #BeckyFromTheBlock #Vevo #LatinPop #OfficialMusicVideo
Views: 77324173 BeckyGVEVO
Roblox Song ♪ "Slaying in Roblox" Roblox Parody (Roblox Animation)
Roblox Song ♪ "Slaying in Roblox" Roblox Parody (Roblox Animation) Music Video ➨ Stream Slaying in Roblox on Spotify: http://bit.ly/SlayingSpotify ➨ Download Roblox Parody Song for Free: http://bit.ly/SlayingFreeDownload A Roblox Song Parody Animation Music Video of Chainsmokers Paris Follow me on Twitter ➨ https://twitter.com/LOGinHDi Check out My First Minecraft Song Parody "Champions" ► https://youtu.be/mvpunrzGw90 ▬▬▬▬▬▬▼ PEOPLE INVOLVED ▼▬▬▬▬▬▬ ➨Animation by Kady Create: https://www.youtube.com/channel/UC31TS8qmO1laOrlkJR85c4Q ➨Vocals by TeraBrite: https://www.youtube.com/TeraBrite ➨Special Effects by SplashGameArt: https://www.youtube.com/channel/UCYYT3pyZRayFULOEEh3TRbQ ➨Produced by: LOGinHDi
Views: 37558311 LOGinHDi
Midnight Oil - Beds Are Burning
Midnight Oil's official music video for 'Beds Are Burning'. Click to listen to Midnight Oil on Spotify: http://smarturl.it/MidnightOilSpotify... As featured on Diesel And Dust. Click to buy the track or album via iTunes: http://smarturl.it/MidnightOilDADiTun... Google Play: http://smarturl.it/MidnightOilGPlay?I... Stream more music from Midnight Oil here: http://smarturl.it/MidOilMulti?IQid=M... More from Midnight Oil Blue Sky Mine: https://youtu.be/Ofrqm6-LCqs The Dead Heart: https://youtu.be/16bFBzx7I_0 Forgotten Years: https://youtu.be/X9eap_cKLP4 More great 80's videos here: http://smarturl.it/Ultimate80?IQid=Mi... Follow Midnight Oil Website: http://www.midnightoil.com Facebook: http://www.facebook.com/midnightoilof... Subscribe to Midnight Oil on YouTube: http://smarturl.it/MidnightOilSubscri... --------- Lyrics: The time has come To say fair's fair To pay the rent To pay our share The time has come A fact's a fact It belongs to them Let's give it back How can we dance When our earth is turning How do we sleep While our beds are burning" #MidnightOil #BedsAreBurning #Vevo #ClassicRock #VevoOfficial
Views: 123231944 MidnightOilVEVO
Michael Jackson-Man in the mirror lyrics
Man in the mirror lyrics
Views: 83494733 jennifer95828
Ava Max - Sweet but Psycho [Official Music Video]
"Sweet but Psycho" Available Now Download/Stream: https://avamax.lnk.to/SweetButPsychoID Subscribe for more official content from Ava Max: https://Atlantic.lnk.to/AvaMaxSubscribe Follow Ava Max Facebook - https://www.facebook.com/avamaxofficial Instagram - https://www.instagram.com/avamax Twitter - https://twitter.com/avamaxofficial http://avamax.com #OfficialMusicVideo #MusicVideo #SweetButPsycho Directed by Shomi Patwary Actor: Prasad Romijn Ava Max is a unique new talent, crafting pop anthems with a much-needed dose of fiery female empowerment.
Views: 79176394 Ava Max
An efficient msb prediction  based method for high capacity reversible data - IEEE PROJECTS 2018
An efficient msb prediction based method for high capacity reversible data hiding in encrypted image- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project AI - DEEP LEARNING 1. Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks 2. Derin Ö˘grenmeyle Bir Foto˘grafın Yerini Bulma Finding Location of A Photograph with Deep Learning 3. Learning for Personalised Medicine: A Comprehensive Review from Deep Learning Perspective 4. Person Reidentification via Structural Deep Metric Learning 5. Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning AI - NATURAL LANGUAGE PROCESSING ( NLP ) 1. Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites 2. Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling 3. Weakly-supervised Deep Embedding for Product Review Sentiment Analysis 4. QuantCloud: Enabling Big Data Complex Event Processing for Quantitative Finance through a Data-Driven Execution 5. Automatic Generation of News Comments Based on Gated Attention Neural Networks 6. Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers 7. BreakingNews: Article Annotation by Image and Text Processing 8. Convolutional Neural Network with Pair-Wise Pure Dependence for Sentence Classification 9. Detecting Android Malware Leveraging Text Semantics of Network Flows 10. Identifying Student Difficulty in a Digital Learning Environment 11. Research on Deep Learning Techniques in Breaking Text-based Captchas and Designing Image-based Captcha 12. Rich Short Text Conversation Using Semantic Key Controlled Sequence Generation 13. Synthetic Social Media Data Generation 14. Learning to Extract Action Descriptions fromNarrative Text AI - VISION (IMAGE PROCESSING) 1. Exploratory Visual Sequence Mining Based on Pattern-Growth 2. E-assessment using image processing in ∞Exams 3. A CNN-based Framework for Comparison of Contactless to Contact-based Fingerprints 4. Moving Object Detection from a Moving Stereo Camera via Depth Information and Visual Odometry 5. Recolored Image Detection via a Deep Discriminative Model
Views: 6 Micans Infotech
Michael Jackson - Man In The Mirror (Official Video)
In keeping with the lyrical message of "Man in the Mirror," which was strongly identified with Michael Jackson and reflective of his own philosophies, the short film features powerful images of events and leaders whose work embodies the song's message to "make that change." Rolling Stone praised the short film in 2014 as "a powerful statement to deliver to personality-driven MTV." Buy/Listen to Bad 25: Amazon - http://smarturl.it/mj_bad25_amzn?IQid=ytd.mj.mitm iTunes - http://smarturl.it/MJ_Bad25A_iTunes?IQid=ytd.mj.mitm Official Store - http://smarturl.it/MJBAD25_OS?IQid=ytd.mj.mitm Spotify - http://smarturl.it/MJ_Bad_Sptfy?IQid=ytd.mj.mitm Written by Siedah Garrett and Glen Ballard Produced by Quincy Jones for Quincy Jones Productions Co-Produced by Michael Jackson for MJJ Productions, Inc. From the album Bad, released August 31, 1987 Released as a single January 16, 1988 THE SHORT FILM Director: Don Wilson Michael Jackson's short film for "Man in the Mirror" was the third of nine short films produced for recordings from Bad, one of the best selling albums of all time. The "Man in the Mirror" single hit No. 1 in four countries in 1988, topping the charts in the United States, Italy, Belgium and Poland and reaching Top 5 in Canada, Ireland and New Zealand. In the U.S., "Man in the Mirror" was the fourth of five consecutive No. 1 singles from one album on the Billboard Hot 100-making Michael the first artist to achieve this milestone. "Man in the Mirror," written by Siedah Garrett (Michael's duet partner on "I Just Can't Stop Loving You") and Glen Ballard, is one of only two songs on Bad not written by Michael Jackson and, even though it wasn't a song he wrote himself, it was a message that was strongly identified with him and reflective of his own philosophies, as demonstrated through his actions and expressed in some of his own lyrics. "'Man in the Mirror' has a great message," he wrote in his 1988 memoir Moonwalk. "I love that song. ..Start with yourself. Don't be looking at all the other things. Start with you. That's the truth." A review of Bad in Rolling Stone in 1987 called the song "among the half dozen best things Jackson has done." In contrast to Michael's other short films of the Bad era, "Man of the Mirror" tells a story not through performance, but through powerful images of oppression, homelessness, hunger, police brutality and other ills of the world, as well as events and leaders of the 20th century whose work is reflective of the song's message to "make that change." Follow the Official Michael Jackson Accounts: Facebook - http://smarturl.it/mj_facebook?IQid=ytd.mj.mitm Twitter - http://smarturl.it/mj_twitter?IQid=ytd.mj.mitm Spotify - http://smarturl.it/mj_spotify?IQid=ytd.mj.mitm Newsletter - http://smarturl.it/mj_newsletter?IQid=ytd.mj.mitm YouTube - http://smarturl.it/mj_youtube?IQid=ytd.mj.mitm Website - http://smarturl.it/mj_website?IQid=ytd.mj.mitm
Views: 98176880 michaeljacksonVEVO
Nathalie Henry Riche: Researchers developing new ways to visualize complex data
Data-driven storytelling is becoming more pervasive with the help of sophisticated visualization tools. Tools that allow us to visualize complex data add more than decoration to our work, says Microsoft researcher Nathalie Riche. “Visualization helps you answer questions you did not even know you had. So it’s about generating hypotheses,” Riche said during her presentation at this year’s Women in Data Science conference at Stanford University. “Of course, you still need statistics and all those complex algorithms to actually answer those questions and really know if this is significant or not. The pattern is in the data,” she says. As an example, Riche showed a table containing four series of numbers. When computing basic statistics about the numbers using measures like standard deviation and regression, they appear to be equivalent and it would appear that the x and y coordinates are essentially the same. Yet when plugged into a basic visualization tool, it’s apparent that they are not. The tool Riche used in her demonstration is decades old. But her research is aimed at laying the groundwork for the development of advanced visualization applications that are simple enough to include in programs like Excel or the more sophisticated Power BI, she says. A tool in Excel called Power Map allows users to plot geographic and temporal data on a representation of a 3D globe or a custom map. A new custom visualization tool in Power BI lets a user animate each data point in a set of data. And Microsoft researchers are currently exploring ways to use virtual reality to visualize data in 3D, Riche says. Data visualization is a powerful way to tell stories, Riche says. “You can actually communicate a message very effectively with visualization. And in fact, those stories with data are everywhere.” As part of their research, Riche and her colleagues look for the most effective way to tell a story with visualization.
sentiment analysis
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Views: 81 Ori Ernst
How Machine Learning Helps Humans Search Millions of Documents Instantly
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: 139 Exaptive
Data Cleaning Project
Views: 268 zezweig
surah rehman with urdu translation full HD
Views: 27308481 Sikander Saleem
Rethinking classical approaches to analysis and predictive modeling
Synopsis: The speaker will address the need to rethink classical approaches to analysis and predictive modeling. He will examine "iterative analytics" and extremely fine grained segmentation down to a single customer -- ultimately building one model per customer or millions of predictive models delivering on the promise of "segment of one" . The speaker will also address the speed at which all this has to work to maintain a competitive advantage for innovative businesses. Speaker: Afshin Goodarzi, Chief Analyst 1010data A veteran of analytics, Goodarzi has led several teams in designing, building and delivering predictive analytics and business analytical products to a diverse set of industries. Prior to joining 1010data, Goodarzi was the Managing Director of Mortgage at Equifax, responsible for the creation of new data products and supporting analytics to the financial industry. Previously, he led the development of various classes of predictive models aimed at the mortgage industry during his tenure at Loan Performance (Core Logic). Earlier on he had worked at BlackRock, the research center for NYNEX (present day Verizon) and Norkom Technologies. Goodarzi's publications span the fields of data mining, data visualization, optimization and artificial intelligence. Sponsor: 1010Data [ http://1010data.com ] Microsoft NERD [ http://microsoftnewengland.com ] Cognizeus [ http://cognizeus.com ]
Views: 885 AnalyticsWeek
"Python Data Science with Pandas" - Research Triangle Analysts
Pandas is a software package providing R-like “data frame” wrangling in Python. Chris Calloway interactively explores • Data input and output • Data transformation • Data analysis • Data visualization with Pandas using some interesting data to answer contemporary social questions.
Views: 353 rtpanalysts
Modeling an Arithmetic Logic Unit in Python
Joseph Mosby http://www.pyvideo.org/video/3784/modeling-an-arithmetic-logic-unit-in-python https://pygotham.org/2015/talks/132/modeling-an-arithmetic-logic-unit-in-python The Arithmetic Logic Unit is a fundamental component of any computer. Though its operations are commonly treated as a black box by most software engineers, in this talk we will peer under the hood of what's really going on inside a sample ALU.
Views: 821 Next Day Video
Loud Luxury feat. brando - Body (Official Lyric Video)
Check out the music video of the new single of Loud Luxury - Love No More: https://www.youtube.com/watch?v=PJF0SBwfDq8 Listen or download "Loud Luxury feat. brando - Body": https://ARMAS1328.lnk.to/BodyYA Summer-tinged and mesmeric from the get-go, ‘Body’ puts shame to the catchiest songs of the season. From the well-timed vocals of brando to the upbeat chords and meticulous arrangement, it makes for a record that never falters. Heeding the cries of music lovers for quality music, this brilliant production from Loud Luxury is on a level of its own. Stream more Armada Music hits here: https://WeArmada.lnk.to/PLYA Subscribe to Armada TV: http://bit.ly/SubscribeArmada #LoudLuxury #Body #LoudLuxuryBody Connect with Armada Music ▶https://www.facebook.com/armadamusic ▶https://twitter.com/Armada ▶https://soundcloud.com/armadamusic
Views: 95833029 Armada Music
Marshmello - FRIENDS (Cartoon Version)ft. Anne-Marie | Lyrics |Mr. Peabody And Sherman| by Music Box
Hope that you enjoyed this video. If you like the video please like, comment and share. Do not forget to subscribe. Press the Bell Icon to get our videos instantly. For know more updates please like and follow our social pages.. Facebook : http://www.facebook.com/musicbxofficial/ Twitter : https://www.twitter.com/mboxofficial Instagram : https://www.instagram.com/mboxofficial/
Views: 10738032 MusicBoxVEVO
Becoming a Data Scientist Podcast Listens Analysis Video
I threw this together since I said I'd share something fun in order to celebrate hitting 20K followers on Twitter. This is an analysis in python/pandas and Tableau of the listens/downloads of my podcast. It's not meant to be a tutorial, a walkthrough of the types of questions you could ask of this type of dataset, and some examples of real world data issues and how I handled them. Feel free to ask questions below or on twitter at @becomingdatasci or on my blog becomingadatascientist.com. The files are here: https://www.becomingadatascientist.com/2017/10/01/podcast-listens-analysis/
Pocophone F1 - How Is This Smartphone Possible?
The Pocophone F1 just arrived and it's almost unbelievable. Go to https://mintmobile.com/unboxtherapy to get your new unlimited talk & text wireless plan for just $15 a month, plus free shipping on your Mint Mobile SIM Card. At $300 the Pocophone F1 may be the most compelling smartphone on the market. Packing a Snapdragon 845 chip, 4000mAh battery, dual camera setup, 20 megapixel selfie camera and 6GB ram the Pocophone F1 is going to be tough to beat for the price. _________________________________________ WATCH SOME MORE VIDEOS... This is the Google Pixel 3 XL https://youtu.be/FBJUzImcGzc?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 This Won't Let You Use Your Smartphone... https://youtu.be/msULur7oQho?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 HUAWEI CAUGHT FAKING https://youtu.be/wcmG0Sh--Fo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Best Smartphone For YouTube https://youtu.be/bIbfDxpzs7Y?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Your smartphone is blinding you, here's what to do. https://youtu.be/FMCP2J6nmdE?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Oppo Find X Lamborghini Edition https://youtu.be/I5EgOz87fIo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Is The Galaxy Note 9 The Best Smartphone of 2018? https://youtu.be/FTLvuDCUQOQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Switching To The Huawei P20 Pro... https://youtu.be/p-dJ7z_QL-Y?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 HUAWEI BEATS APPLE https://youtu.be/dg5CpYZARJ4?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 How is this thing even real?? https://youtu.be/tfBIpzdckeU?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Be VERY skeptical of this smartphone "enhancement"... https://www.youtube.com/watch?v=044DkevH2aY&t=1s&list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34&index=2 What's In My Gadget Bag Right Now? https://youtu.be/Gl9BmvF8PJs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 APPLE RESPONDS https://youtu.be/M47IYjvEGso?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Surprising Truth About The iPhone X… https://youtu.be/6TfZz6bM0u4 Is The 2018 MacBook Pro Hot Garbage? https://youtu.be/11YUkJCf6_w?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Which Smartphone Do I Actually Use? https://youtu.be/LUxbw674iV8?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 This Unique Smartphone Is Fat For A Reason... https://youtu.be/Bn3FWBijaVg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 DO NOT Buy The BlackBerry KEY2 https://youtu.be/Olnd3t01Pic?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Here's What A $4200 Smartphone Looks Like... https://youtu.be/Rsb9NK7E7Bg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 I'm Switching To The Blackberry KEY2... https://youtu.be/0tKmJnqW1Kw?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Next iPhone Will Be HUGE! https://youtu.be/iBqix6WssbM This Smartphone Changes Everything... https://youtu.be/cV5TjZCJkuA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The Mind Blowing ROG Gaming Smartphone https://youtu.be/ZyWX6CjJCIU?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 Top 5 Most Unusual Phones In The World... https://youtu.be/D_Iei8Ge7bs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The RGB Gaming Smartphone is Here... https://youtu.be/cBIRlDuTs5c?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 OnePlus 6 Unboxing - Is This The One? https://youtu.be/6sqfiBoksqw?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34 The ULTIMATE $30,000 Gaming PC Setup https://youtu.be/r-3iathMo7o?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 Unboxing The World's Smallest Phone https://youtu.be/SSzyGCjH88o?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: 6133402 Unbox Therapy
Hobao Hyper 7 or HPI Trophy 3.5? Comparison
A very common question that arises is which is better? The HPI Trophy 3.5 or the Hobao Hyper 7? Both Buggies have the same specs, around the same price and have equally good ratings. So which to go for? Hopefully this video will help you out. RC Help Text Service : http://jthornley12.webs.com/textmeservice.htm Any questions please ask Enjoy & More videos are coming soon, http://www.youtube.com/jthornley12 http://www.jthornley12.webs.com Facebook, Email, MSN: [email protected] Thanks
Views: 28352 JT12's R/C Videos
Blow (2001) Official Trailer - Johnny Depp, Penelope Cruz Movie HD
Subscribe to CLASSIC TRAILERS: http://bit.ly/1u43jDe Subscribe to TRAILERS: http://bit.ly/sxaw6h Subscribe to COMING SOON: http://bit.ly/H2vZUn Like us on FACEBOOK: http://goo.gl/dHs73 Follow us on TWITTER: http://bit.ly/1ghOWmt Blow (2001) Official Trailer - Johnny Depp, Penelope Cruz Movie HD The story of George Jung, the man who established the American cocaine market in the 1970s. Welcome to the Fandango MOVIECLIPS Trailer Vault Channel. Where trailers from the past, from recent to long ago, from a time before YouTube, can be enjoyed by all. We search near and far for original movie trailer from all decades. Feel free to send us your trailer requests and we will do our best to hunt it down.
The Connected Vehicle: How Analytics Drives Telematics Value
http://www.sas.com/automotive Learn how SAS' Internet of Things technology is turning mundane telematics trouble codes into real value in the automotive and trucking industries. When everything is connected, we need answers, we need the Analytics of Things. SAS AUTOMOTIVE SOLUTIONS Drive better decisions with the world’s best analytics. SAS has automotive solutions for: * Sales & Marketing * Product & Process Quality * Aftermarket Service * Credit & Finance * Supply & Demand Planning * And more... LEARN MORE ABOUT SAS SOLUTIONS FOR AUTOMOTIVE http://www.sas.com/en_us/industry/automotive.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make 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
Views: 22164 SAS Software
Implementing the Vision: Chapter 2- A Knowledge Gap
The effects of Residential Schools, and the forces of colonization, are examined in relation to First Nations health
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