Think Stats is a beginner friendly introduction to Statistics and Probability. Deep Learning for Coders with Fastai & PyTorch by Jeremy Howard and Sylvain Gugger is designed to start with your deep learning journey. Bayesian Methods for Hackers by Adel El-Shahat is a great choice.
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Table of contents
1. Think Stats2. Dive into Deep Learning3. Advanced Applications for Artificial Neural Networks4. Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models5. Bayesian Methods for Hackers: Probabilistic Programming for Bayesian Inference6. Deep Learning for Coders with Fastai & PyTorch7. Deep Learning on Graphs8. Neural Network Design9. Physics-based Deep Learning10. Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning11. Natural Language Processing with Python12. Machine Learning Yearning13. An Introduction to Statistical Learning14. Linear Algebra15. Forecasting: Principles and PracticeSort: