10 Free Books to Master Machine Learning
1. "Introduction to Statistical Learning" - Basics of statistical learning methods.
2. "Python Data Science Handbook" - Practical guide to data science tools in
Python
.
3. "Deep Learning" by Ian Goodfellow et al. - Comprehensive guide to deep learning techniques.
4. "Machine Learning Yearning" by Andrew Ng - Practical insights on applying ML.
5. "Bayesian Reasoning and Machine Learning" - Introduction to Bayesian methods in ML.
6. "Pattern Recognition and Machine Learning" by Christopher Bishop - Classic text on ML algorithms.
7. "Neural Networks and Deep Learning" by Michael Nielsen - Understanding neural networks from basics.
8. "Grokking Machine Learning" - Hands-on approach to learning ML concepts.
9. "The Elements of Statistical Learning" - Advanced statistical learning methods.
10. "Natural Language Processing with Python" - Applying NLP techniques using Python.
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