AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introduction. Second Edition. Richard S. Sutton and Andrew G. Barto. 4. The Elements of Statistical Learning. Second Edition. Trevor Hastie, Robert Tibshirani, and Jerome Friedman. 5. Neural Networks for Pattern Recognition. Bishop Christopher M. 6. Genetic Algorithms in Search, Optimization & Machine Learning. Goldberg David E. 7. Machine Learning with PyTorch and Scikit-Learn. Raschka Sebastian, Liu Yukxi, Mirjalili Vahid. 8. Modeling and Reasoning with Bayesian Networks. Darwiche Adnan. 9. An Introduction to Support Vector Machines and other kernel-based learning methods. Cristianini Nello, Shawe-Taylor John. 10. Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning. Izenman Alan Julian,
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