- Looking for any opinions you may have on these free books on machine learning. https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md 5 comments learnmachinelearning
Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- Supervised Machine Learning Algorithms in Python | Toptal https://www.toptal.com/machine-learning/supervised-machine-learning-algorithms 0 comments
Linked pages
- Welcome | R for Data Science http://r4ds.had.co.nz/index.html 161 comments
- Bayesian Methods for Hackers http://camdavidsonpilon.github.io/probabilistic-programming-and-bayesian-methods-for-hackers/ 129 comments
- Welcome · Advanced R. http://adv-r.had.co.nz/ 107 comments
- A Course in Machine Learning http://ciml.info/ 104 comments
- https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf 98 comments
- Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. https://mml-book.github.io/ 81 comments
- Deep Learning http://www.deeplearningbook.org/ 75 comments
- Think Stats: Probability and Statistics for Programmers http://www.greenteapress.com/thinkstats/ 69 comments
- The Probability and Statistics Cookbook http://statistics.zone/ 67 comments
- https://bayes.wustl.edu/etj/prob/book.pdf 64 comments
- https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf 56 comments
- start [The Hundred-Page Machine Learning Book] http://themlbook.com/wiki/doku.php 55 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/ 52 comments
- Linear Algebra Done Wrong http://www.math.brown.edu/~treil/papers/LADW/LADW.html 42 comments
- Gareth James http://www-bcf.usc.edu/~gareth/ISL/ 35 comments
- NLTK Book http://www.nltk.org/book/ 33 comments
- https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/ 33 comments
- http://www.burns-stat.com/pages/Tutor/R_inferno.pdf 27 comments
- David MacKay: Information Theory, Inference, and Learning Algorithms: The Book http://www.inference.phy.cam.ac.uk/mackay/itila/book.html 26 comments
- Sutton & Barto Book: Reinforcement Learning: An Introduction http://incompleteideas.net/book/the-book-2nd.html 21 comments
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