Build a Large Language Model (From Scratch)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Understanding Deep Learning

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

The Book of Why: The New Science of Cause and Effect

The StatQuest Illustrated Guide To Machine Learning