Machine Learning Engineer was voted one of the best jobs in the U.S. in 2019. We have compiled a list of best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field. There is no doubt that Machine Learning has become a popular topic nowadays.
Table of contents
1. ISLR2. Neural Networks and Deep Learning3. Pattern Recognition and Machine Learning4. Deep Learning Book5. Understanding Machine Learning: From Theory to Algorithms6. Seven Steps to Success: Machine Learning in Practice7. Rules of Machine Learning: Best practices for Machine Learning Engineering8. A Brief Introduction to Machine Learning for Engineers9. Brief Introduction to Machine Learning without Deep Learning10. Introductory Machine Learning notes11. Foundations of Machine Learning12. An Introduction to Variable and Feature Selection13. AutoML Book – Frank Hutter, Lars Kotthoff, Joaquin Vanschoren14. Deep Learning with Pytorch15. Dive Into Deep Learning16. Keras Github notebooks17. Model-based Machine Learning18. Bayesian Models for Machine Learning19. Eisenstein NLP notes20. Reinforcement Learning – Sutton and Barto21. Gaussian Processes for Machine Learning22. Machine Learning Interviews Machine Learning Systems Design Chip Huyen23. Algorithmic Aspects of Machine Learning24. Causality for Machine LearningSort: