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Mod-01 Lec-01 Lecture-01-Simple Linear Regression
 
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Regression Analysis by Prof.Soumen Maity, Department of Mathematics ,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 61002 nptelhrd
Mod-01 Lec-05 Bayes Decision Theory
 
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Pattern Recognition and Application by Prof. P.K. Biswas,Department of Electronics & Communication Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
Views: 34179 nptelhrd
Time Series Forecasting Theory | AR, MA, ARMA, ARIMA | Data Science
 
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In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast. This will also help you learn ARCH, Garch, ECM Model & Panel data models. For training, consulting or help Contact : [email protected] For Study Packs : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 405798 Analytics University
Lecture 01. Introduction. Prof. Deepu Philip
 
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Data Mining vs Data Analytics Data Analytics Data (for this course) Data Analytics: Different views Decisions Phases of Data Analytics Phases of Data Analytics - II Hypothesis
11. Introduction to Machine Learning
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 539751 MIT OpenCourseWare
Lecture 02. Analytics for Decision Making Support. Prof. Deepu Philip
 
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Overview Obstacles to Analytics? Decision making, why? Decision maker - factors? Scientific decision making Modified SDM for Analytics Feedback loops in new SDM
Mod-01 Lec-26 Cluster Analysis
 
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Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 37370 nptelhrd
Lecture - 1 Introduction to Data Structures and Algorithms
 
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Lecture Series on Data Structures and Algorithms by Dr. Naveen Garg, Department of Computer Science & Engineering ,IIT Delhi.
Views: 1664479 nptelhrd
Module - 2 Lecture - 1 Surveying
 
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Lecture Series on Surveying by Prof. Bharat Lohani, Department of Civil Engineering, IIT Kanpur.For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 141230 nptelhrd
Module - 1 Lecture - 1 Surveying
 
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Lecture Series on Surveying by Prof. Bharat Lohani, Department of Civil Engineering, IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in
Views: 866926 nptelhrd
Lecture 13: Business Intelligence & Analytics_Prof. Deepu Philip
 
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Business Intelligence BI System Evolution Data Warehouse Data Mart Data Stewardship Data Errors
Lecture -20 Discrete Wavelet Transforms
 
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Lecture Series on Digital Voice and Picture Communication by Prof.S. Sengupta, Department of Electronics and Electrical Communication Engg ,IIT Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 84545 nptelhrd
Mod-01 Lec-29 Support Vector Machine
 
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Pattern Recognition and Application by Prof. P.K. Biswas,Department of Electronics & Communication Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
Views: 56682 nptelhrd
Lec-19 Back Propagation Algorithm
 
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Lecture Series on Neural Networks and Applications by Prof.S. Sengupta, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 70156 nptelhrd
Mod-04 Lec-20 Knowledge Representation Techniques
 
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ICT Basics by Prof. T.V. Prabhakar,Department of Computer Science and Engineering, IIT Kanpur. For more details on NPTEL visit http://nptel.ac.in
Views: 3170 nptelhrd
Info-Clustering: A Mathematical Theory for Data Clustering
 
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We formulate an info-clustering paradigm based on a multivariate mutual information measure that naturally extends Shannon’s mutual information between two random variables to the multivariate case involving more than two random variables. With proper model reductions, we show that the paradigm can be applied to study the human genome and connectome in a more meaningful way than the conventional algorithmic approach. Not only can it provide justifications and refinements to some existing techniques, but it also inspires new computationally feasible solutions. https://arxiv.org/abs/1605.01233
Views: 444 chung chan
Entropy Introduction, Properties of Entropy with Proofs - Information Theory Coding Lectures Hindi
 
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Entropy Introduction, Properties of Entropy with Proofs - Information Theory Coding Lectures Hindi ITC Videos Lectures for GGSIPU, UPTU, B.Tech, M.Tech, MCA and other Engineering College students
Mod-01 Lec-38 Genetic Algorithms
 
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Design and Optimization of Energy Systems by Prof. C. Balaji , Department of Mechanical Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 159997 nptelhrd
Global Initiative of Academic Networks (GIAN) - IIT Kharagpur
 
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Global Initiative of Academic Networks (GIAN) - A Govt. of India programme for participation of globally reputed scientists and entrepreneurs in the Indian higher education system
CVPR18: Tutorial: Part 1: Big Data Summarization: Algorithms and Applications
 
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Organizers: Ehsan Elhamifar Amit Roy-Chowdhury Amin Karbasi Description: The increasing amounts of data in computer vision requires robust and scalable summarization tools to efficiently extract most important information from massive datasets. However, summarization involves optimization programs that are nonconvex and NP-hard, in general. While convex, nonconvex and submodular optimization have been studied intensively in mathematics, successful and effective applications of them for information summarization along with new theoretical results have recently emerged. These results, in contrast with more classical approaches, can deal with struc-tured data, nonlinear models, data nuisances and exponentially large dataset. The goal of this tutorial is to present the audi-ence with a unifying perspective of this problem, introducing the basic concepts and connecting nonconvex methods with convex sparse optimization as well as submodular optimiza-tion. The presentation of the formulations, algorithms and theoretical foundations will be complemented with applica-tions in computer vision, including video and image summari-zation, procedure learning from instructional data, pose esti-mation, active learning and more. Schedule: 1345 Overview of Summarization Algorithms: Modeling, Optimizations, Applications, Ehsan Elhamifar 1430 Submodular Optimization Methods for Summarization, Amin Karbasi 1530 Afternoon Break 1600 Sequential Data Summarization and Applications to Procedure Learning, Ehsan Elhamifar 1645 Collaborative Summarization With Side Information, Amit Roy-Chowdhury
SHM (made simple) just by one graph: Anuj Mishra sir IIT Kanpur:D4TS
 
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Best online free physics notes by eminent trainer for IITJEE, AIEEE, AIPMT and now(ISEET and NEET) ANUJ MISHRA sir IIT Kanpur Each lecture is designed in such a way that it remains short, concise and effective. visit www.d4ts.com for more details and other lectures.
Views: 104 Anuj Mishra
Shannon's Entropy Decision Tree | Machine Learning | Tutorial For Beginners | Great Learning
 
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The Shannon entropy equation provides a way to estimate the average minimum number of bits needed to encode a string of symbols, based on the frequency of the symbols. #GreatLearning #DecisionTree #ShannonsEntropy #GreatLakes 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 the pillars 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://bit.ly/2s92TDX - 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 Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 223 Great Learning
Mod-01 Lec-30 Discriminant analysis and classification
 
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Applied Multivariate Analysis by Dr. Amit Mitra,Dr. Sharmishtha Mitra, Department of Mathematics and Science, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 12447 nptelhrd
Mod-01 Lec-16 Digital Switching
 
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Digital Switching by Prof. Yatindra N Singh,Department of Electronics & Communication Engineering,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.
Views: 1370 nptelhrd
Mod-01 Lec-09 Basics of Materials & Energy Balance
 
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Materials and Energy Balance in Metallurgical Processes by Prof. S. C. Koria, Department of Materials Science & Engineering, IIT Kanpur For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 35303 nptelhrd
Kira: Processing Astronomy Imagery Using Big Data Technology
 
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BIDS Spring 2016 Data Science Faire | May 3, 2016 | 1:30-4:30 p.m. | 190 Doe Library, UC Berkeley Zhao Zhang, Postdoctoral Researcher, Dept. of Electrical Engineering and Computer Science; BIDS Data Science Fellow, gave this lightning talk at the BIDS Spring 2016 Data Science Faire on May 3, 2016. More details about the faire: https://bids.berkeley.edu/events/bids-spring-2016-data-science-faire
FDP201x: Face-to-face Session 1 Part 2 - Nov 24, 2018
 
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This was live feed from IIT Bombay, conducted by Prof. Sahana Murthy.
Views: 581 Studio IIT Bombay
Top best tips - -  if you are not in IIT | Get Inspired | Motivational Video in Hindi
 
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If you are depressed of not getting into IIT or any college then dont regret yourself. Watch this video and reduce your depression Top Best Study Tips https://www.youtube.com/watch?v=8jCh4Bgx6OU Subscribe Well Academy : https://www.youtube.com/channel/UCQA9... like us on Facebook : https://www.facebook.com/wellacademy/ -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 6241 Well Academy
Decision Tree 1: how it works
 
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Full lecture: http://bit.ly/D-Tree A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Each split corresponds to a node in the. Splitting stops when every subset is pure (all elements belong to a single class) -- this can always be achieved, unless there are duplicate training examples with different classes.
Views: 535033 Victor Lavrenko
Entropy Calculation Part 3 - Intro to Machine Learning
 
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This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Views: 8555 Udacity
Lecture 19: Planar Graphs
 
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In this lecture, we will discuss planar graphs i.e. plane graph embeddings, Dual graphs, Euler’s formula for plane graphs and Regular Polyhedra.
Campus Tour | IIT BHU | Varanasi
 
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Take a tour through one of the biggest institutes in India. Nested within Asia's largest residential university, IIT (BHU) proudly presents to you its first ever official campus tour video. Subscribe this channel for instant updates! Like us on Facebook: https://www.facebook.com/fmc.iitbhu/
Business Ethics Lecture 09/05/09 -- Part 2
 
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Business Ethics Lecture 09/05/09 -- Part 2 Introduction to the course by professor Michael Einheuser
Views: 2200 MichaelEinheuser
CAREERS IN CHEMISTRY– Degree,Healthcare Scientist,Engineering firms,Laboratory Jobs
 
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CAREERS IN CHEMISTRY.Go through the career opportunities of CHEMISTRY, Govt jobs and Employment News channel from Freshersworld.com – The No.1 job portal for freshers in India. Visit http://www.freshersworld.com?src=Youtube for detailed Career information,Job Opportunities,Education details of CHEMISTRY. Chemistry as a subject provides insight about topics of concern that deal with the composition, properties, structure and most importantly, change of matter. When you first listen to the word chemistry, all you can think of is molecules and matters and structures. Chemistry as a subject paves way for much more than any of these mentioned. There is a major assumption that 'All chemists wear white coats'. In fact, it is the other way round! Here is a list of jobs that a student can attain to after having his/ her chemistry degree in hand: • Healthcare scientist, clinical biochemistry • Forensic scientist • Pharmacologist • Analytical chemist • Research scientist (physical sciences) • Toxicologist • Chemical engineer Also, there are a few options wherein this degree could be used in a more specific way: • Science writer • Higher education lecturer • Patent attorney • Chartered certified accountant • Environmental consultant • Secondary school teacher The skills which are absolutely required for a student having a chemistry degree in hand is to whilst bagging a job in need are: • analysis and problem-solving; • research skills • technical skills • quantitative skills • organizational skills • time management and organization; • written and oral communication; • monitoring/maintaining records and data; • teamwork; • IT and technology. Here is a list to as in who all employs chemistry graduates that would rather provide an insight to the career as such: • Consulting firms • Pharmaceutical companies • Museums • Engineering firms • Industrial inspection firms • Magazines and newspapers Cosmetics and fragrance production companies • Computers and telecommunications Government agencies • Fine and heavy chemical manufacturing companies • Food and beverage production companies • Mining and metallurgy companies • Law Firms • Oil and gas companies • Plastic manufacturing companies • Universities, colleges and schools • Hospitals & other medical organizations • Pulp and paper companies • Environment and pollution control firms Here is a list of colleges mastering in chemistry: Osmania PG College, Kurnool M S R S Siddardha Degree College Gayatri College of Science & Management Government Degree College (Men) Ramakrishna Mission Vivekananda College J & J College of Science Sheth L H Science College M G Science Institute Bhavan's R A College of Science Sir C R Reddy Autonomous College NIT Silchar NIT Surathkal NIT Rourkela NIT Jalandhar NIT Durgapur NIT Agartala Meenakshi College for Women Ethiraj College for Women Sri Venkateswara College St. Stephen’s College Hans Raj College Ramjas College Miranda House College Gargi College BITS Pilani MNIT Jaipur IIT Kharagpur IIT Bombay IIT Delhi IIT Guwahati IIT Kanpur IIT Madras NIT Warangal NIT Trichy KMC Delhi Acharya Narendra Dev College ISM Dhanbad IIT Roorkee There are thousands of ways in getting into a chemistry job. All you need to do is have patience and focus on the right direction. Patience and perseverance are the two roads to success, especially in chemistry. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
Soft Skills - Business Negotiation Skills
 
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Soft Skills - Business Negotiation Skills Watch more video tutorials at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Ms Saira Nikhat Imam, Tutorials Point India Private Limited
Wits University Phys 3 - Gravity Lecture No 1 (2016)
 
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This video includes: Theoretical background to the field of gravity with some worked examples For the Excel solutions to the problems in the video please visit: https://drive.google.com/open?id=0B9In9AOnWyDRTFZld0o5N3pBTWc The powerpoint can be downloaded at: https://drive.google.com/open?id=0B9In9AOnWyDRaG1sTHVQMWtUbTA Figures were taken from: 1. "Looking into the Earth" by Alan E. Mussett and M. Aftab Khan 2. "Geophysics for the Mineral Exploration Geoscientist" by Mike Dentith 3. Society of Exploration Geophysics (SEG) gravity notes 4. "BEST PRACTICE IN GRAVITY SURVEYING" by Alice S Murray and Ray M. Tracey (2001) Problems were taken from: 1. "Looking into the Earth" by Alan E. Mussett and M. Aftab Khan 2. "Geophysics for the Mineral Exploration Geoscientist" by Mike Dentith scheiber-enslin.blogspot.com
Tech Talk #1--What is Machine Learning?
 
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A short video on Machine Learning do like subscribe share.... more on Machine learning- https://www.wikipedia.org/wiki/Machine_learning Machine Learning courses- https://in.udacity.com/Machine/Learning https://www.coursera.org/learn/machine-learning Instagram- https://www.instagram.com/aryanrawlley/
Views: 298 Tech-o- Rawlley