Due to the Covid-19 lockdown, most of us have turned into autodidacts. Which is good since right now we have lot of time in our hands, and learning something new would be very helpful for our career. So, I thought why not curate a list of books that would help you learn Machine Learning. So, here's a list of 23 best Machine Learning books for 2020. Most of these books are available in the author's website for free, I have given the link to those too. Happy learning!
1. Deep Learning Book
- by Aaron Courville, Ian Goodfellow, and Yoshua Bengio
This book is freely available here.
2. The Elements of Statistical Learning
- by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
This book is freely available here.
3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- by Aurelien Geron
4. Pattern Recognition and Machine Learning
- by Christopher Bishop
This book is freely available here.
5. An Introduction to Statistical Learning: With Applications in R
- by Gareth M. James, Trevor Hastie, Daniela Witten, Robert Tibshirani
This book is freely available here.
6. The Hundred-Page Machine Learning Book
- by Andriy Burkov
7. Understanding Machine Learning: From Theory to Algorithms
- by Shai Ben-David and Shai Shalev-Shwartz
This book is freely available here.
8. Mathematics for Machine Learning
- by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth
This book is freely available here.
9. Data Science from Scratch
- by Joel Grus
10. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
- by Cameron Davidson-Pilon
This book is freely available here.
11. Python Data Science Handbook: Essential Tools for Working with Data
- by Jake VanderPlas
This book is freely available here.
12. Think Stats
- by Allen B. Downey
This book is freely available here.
13. Grokking Deep Learning
- by Andrew W. Trask
This book is freely available here.
14. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
- by Pedro Domingos
15. Foundations of Machine Learning
- by Afshin Rostamizadeh, Ameet Talwalkar, and Mehryar Mohri
This book is freely available here.
16. Machine Learning: The Art and Science of Algorithms that Make Sense of Data
- by Peter Flach
17. Bayesian Reasoning and Machine Learning
- by David Barber
This book is freely available here.
18. Machine Learning for Hackers
- by Drew Conway and John Myles White
19. Introduction to Machine Learning with Python: A Guide for Data Scientists
- by Andreas C. Müller and Sarah Guido
20. Introduction to Machine Learning
- by Ethem Alpaydın
21. Machine Learning: A Probabilistic Perspective
- by Kevin P. Murphy
22. Deep Learning with Python
- by François Chollet
23. Artificial Intelligence: A Modern Approach
- by Peter Norvig and Stuart J. Russell
