Free Machine Learning Book!
Understand Machine Learning from theory to algorithms.
To get your PDF copy:
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@python_spaces You can just search same title on Google and download it yourself instead.
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here is a list of 50 free machine learning books (in no particular order):
1. "Understanding Machine Learning: From Theory to Algorithms"
2. "Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville
3. "Pattern Recognition and Machine Learning" by Christopher M. Bishop
4. "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili
5. "Machine Learning Yearning" by Andrew Ng
6. "The Hundred-Page Machine Learning Book" by Andriy Burkov
7. "Python Machine Learning (3rd edition)" by Sebastian Raschka and Vahid Mirjalili
8. "Information Theory, Inference, and Learning Algorithms" by David MacKay
9. "Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
10. "Bayesian Reasoning and Machine Learning" by David Barber
11. "A Course in Machine Learning" by Hal Daumé III
12. "Introduction to Artificial Intelligence" by Wolfgang Ertel
13. "Probabilistic Programming & Bayesian Methods for Hackers" by Cameron Davidson-Pilon
14. "Practical Machine Learning for Computer Vision" by Martin Görner and Ryan Gillard
15. "Machine Learning for Dummies" by John Paul Mueller and Luca Massaron
16. "Machine Learning: A Probabilistic Perspective" by Kevin P. Murphy
17. "Machine Learning Yearning" by Andrew Ng
18. "Neural Networks and Deep Learning" by Charu C. Aggarwal
19. "Data Science and Machine Learning Bootcamp with R" by David Curry
20. "Data Science for Business" by Foster Provost and Tom Fawcett
21. "Data-Intensive Text Processing with MapReduce" by Jimmy Lin and Chris Dyer
22. "A First Encounter with Machine Learning" by Max Welling
23. "Machine Learning for Dummies" by John Paul Mueller and Luca Massaron
24. "Machine Learning for Humans" by Vishal Maini and Samer Sabri
25. "Machine Learning in Action" by Peter Harrington
26. "Machine Learning Yearning" by Andrew Ng
27. "Mathematics for Machine Learning" by Marc Peter Deisenroth, Aldo Faisal, and A Aldo Sorkine-Hornung
28. "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper
29. "Practical Deep Learning for Computer Vision" by Martin Görner, Ryan Gillard, and Valliappa Lakshmanan
30. "Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili
31. "Python Machine Learning Cookbook" by Prateek Joshi
32. "Scikit-Learn and TensorFlow" by Aurélien Géron
33. "Statistical Learning and Data Mining" by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin
34. "The Hundred-Page Machine Learning Book" by Andriy Burkov
35. "Understanding Machine Learning" by Shai Shalev-Shwartz and Shai Ben-David
36. "An Introduction to Machine Learning" by Alpaydin, Introduction to Machine Learning
37. "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
38. "Machine Learning" by Tom Mitchell
39. "Machine Learning" by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar
40. "Deep Learning" by Ian Goodfellow and Yoshua Bengio and Aaron Courville
41. "Bayesian Methods for Hackers" by Cameron Davidson-Pilon
42. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
43. "Practical Statistics for Data Scientists" by Andrew Bruce and Peter Bruce
44. "Data Science for Business" by Foster Provost and Tom Fawcett
45. "Data Science: An Introduction" by David Banks
46. "Machine Learning for Dummies" by John Paul Mueller and Luca Massaron
47. "A Course in Machine Learning" by Hal Daumé III
48. "Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville
49. "Machine Learning Yearning" by Andrew Ng
50. "The Hundred-Page Machine Learning Book" by Andriy Burkov
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