Hands-On Machine Learning With Scikit-Learn, Keras, And Tensorflow: Concepts, Tools, And Techniques To Build Intelligent Systems

Interpretable Machine Learning: A Guide For Making Black Box Models Explainable

Data-Driven Science And Engineering: Machine Learning, Dynamical Systems, And Control

Rust For Machine Learning: A Hands-On Guide To Building High-Performance, Reliable & Intelligent Systems

Advances In Financial Machine Learning

Designing Machine Learning Systems: An Iterative Process For Production-Ready Applications

Introduction To Machine Learning With Python: A Guide For Data Scientists

The Statquest Illustrated Guide To Machine Learning

Machine Learning System Design Interview

Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

AI And Machine Learning For Coders: A Programmer's Guide To Artificial Intelligence

Probabilistic Machine Learning: Advanced Topics (Adaptive Computation And Machine Learning Series)

Machine Learning For Tabular Data: Xgboost, Deep Learning, And AI

Inside The Machine Learning Interview: 151 Real Questions From FAANG And How To Answer Them

Machine Learning Refined: Foundations, Algorithms, And Applications

Machine Learning: Architecture In The Age Of Artificial Intelligence

Hands-On Machine Learning With C++: Build, Train, And Deploy End-To-End Machine Learning And Deep Learning Pipelines

The Alignment Problem: Machine Learning And Human Values

Machine Learning For Dummies

The AI Playbook: Mastering The Rare Art Of Machine Learning Deployment (Management On The Cutting Edge)

Machine Learning A Concise Introduction