Data Analytics - Machine Learning
Contents
- Day1:
- Day2:
Books, Articles, Blogs and Learning Resources:
Books, Articles, Blogs and Learning Resources:
- Introduction to Machine Learning, 2nd Edition by Ethem Alpaydın. URL
- A Course in Machine Learning by Hal Daumé III. URL
- Machine Learning in Action by Peter Harrington. URL
- Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan. URL
- Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David. URL
- Must Read Books for Beginners on Machine Learning and Artificial Intelligence. URL
- Introduction to Machine Learning (An Early Draft of A Proposed Textbook) by Nils J. Nilsson. URL
- Book:Machine Learning – The Complete Guide. URL
- Information Theory, Inference, and Learning Algorithms by David J.C. MacKay. URL
- Machine Learning A Probabilistic Perspective by Kevin P. Murphy. URL
- 35 Free Online Books on Machine Learning. URL
- Machine Learning by Tom M. Mitchell. URL; Machine Learning, Tom Mitchell, McGraw-Hill. (Slides for instructors). URL
- Machine Learning Tutorial by Wei-Lun Chao. URL
- Machine Learning, Neural and Statistical Classification (Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor). URL
- Gaussian Processes for Machine Learning by Carl Edward Rasmussen & Christopher K. I. Williams. URL
- An Introduction to Statistical Learning with Applications in R (Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani). URL
- Building Machine Learning Systems with Python by Willi Richert & Luis Pedro Coelho. URL
- An Introduction to Statistical Learning with Applications in R (Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani). URL
- DSO 530: Applied Modern Statistical Learning Techniques (Abbass Al Sharif, Assistant Professor of Clinical Data Sciences). URL
- Introduction to Statistical Machine Learning by Masashi Sugiyama (ISBN: 978-0-12-802121-7). URL
- Machine Learning: Making Sense of Data by Peter Flach. URL
- Books on Adaptive Computation and Machine Learning (MIT Press). URL
- 60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more. URL
- A Few Useful Things to Know about Machine Learning by Pedro Domingos. URL
- A First Encounter with Machine Learning by Max Welling. URL
- 27 Free Data Mining Books. URL
- Bayesian Reasoning and Machine Learning by David Barber. URL
- Machine Learning in Computer Vision by N. Sebe, Ira Cohen, Ashutosh Garg, & Thomas S. Huang. URL
- Python Machine Learning by Sebastian Raschka. URL
- Machine Learning Engineer Nanodegree. URL
- Computer Vision: Models, Learning, and Inference by Simon J.D. Prince. URL
- Christopher Bishop, Laboratory Director, Microsoft Research Cambridge. URL
- Introduction to Machine Learning, second edition by Ethem Alpaydin. URL
- List of 35 Free eBooks on Machine Learning & Related Fields. URL
- D. Chen and P. Burrell, 'Case-based reasoning system and artificial neural networks: A Review (pdf file)', in Neural Computing & Applications, vol. 10, no. 3, pp. 264-276, 2001 (Copyright 2001 Springer). URL
- M.F. Valstar and M. Pantic, 'Biologically vs. logic inspired encoding of facial actions and emotions in video (pdf file)', in Proc. IEEE Int'l Conf. on Multimedia and Expo (ICME '06), Toronto, Canada, July 2006 (Copyright 2006 IEEE Press). URL
- S. Petridis and M. Pantic, 'Audiovisual Discrimination between Laughter and Speech (pdf file)', in Proc. IEEE Int’l Conf. Acoustics, Speech and Signal Processing (ICASSP’08), pp. 5117-5120, Las Vegas, USA, April 2008 (Copyright © 2008 IEEE Press). URL
- A Short History of Machine Learning -- Every Manager Should Read. URL1; URL2
- Alan Turing Predicts Machine Learning And The Impact Of Artificial Intelligence On Jobs. URL1; URL2
Useful Links & Resources:
Useful Links & Resources:
- Machine Learning with Matlab. URL1; Section-1: URL2; Section-2: URL3; Section-3: URL4; Section-4: URL5
- Supervised Learning Workflow and Algorithms. URL
- The Classification Learner. URL
- Classification Examples. URL
- Data-Driven Insights with MATLAB Analytics: An Energy Load Forecasting Case Study. URL
- Machine Learning Made Easy (Shashank Prasanna, MathWorks). URL
- Signal Processing and Machine Learning Techniques for Sensor Data Analytics (Gabriele Bunkheila, MathWorks). URL
- Signal Processing Toolbox (Perform signal processing and analysis). URL