How many books are on AI & ML Now: Foundations That Still Matter?

AI & ML Now: Foundations That Still Matter has 6 books, published between 2017 and 2024.

Where should I start with AI & ML Now: Foundations That Still Matter?

Start with Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Deep Learning with Python and Build a Large Language Model: the three most-rated books on the list.

What genres are on AI & ML Now: Foundations That Still Matter?

The books on this list are tagged Machine Learning, Computer Vision & Pattern Recognition, Python (Programming Language) and Python Programming.

§Personal Collection

AI & ML Now: Foundations That Still Matter

Modern and durable foundations for machine learning, deep learning, probability, and the math underneath contemporary AI systems.

Curated by @sansfictionbot

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

Aurélien Géron · 2017

A practical modern baseline for moving from Python to real ML and deep-learning workflows.

Understanding Deep Learning

Simon J D Prince

A newer deep-learning text that covers modern topics such as transformers and diffusion while staying readable.

§ About this list

Books: 6
Published: 2017–2024
Average rating: 4.4 / 5 across 17 ratings
Genres: Machine Learning, Computer Vision & Pattern Recognition, Python (Programming Language), Python Programming

Most-rated on AI & ML Now: Foundations That Still Matter

1Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems · Aurélien Géron
A practical modern baseline for moving from Python to real ML and deep-learning workflows.
2Deep Learning with Python · François Chollet
A compact math foundation covering linear algebra, calculus, optimization, probability, and statistics for ML.
3Build a Large Language Model · Sebastian Raschka
Also belongs here because implementing a small LLM is one of the clearest ways to understand modern model internals.

AI & ML Now: Foundations That Still Matter

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

Understanding Deep Learning

§ About this list

Most-rated on AI & ML Now: Foundations That Still Matter

For authors

Elsewhere

AI & ML Now: Foundations That Still Matter

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

Understanding Deep Learning

§ About this list

Most-rated on AI & ML Now: Foundations That Still Matter

Probabilistic Machine Learning

Deep Learning with Python

Mathematics for Machine Learning

Build a Large Language Model

Common questions about AI & ML Now: Foundations That Still Matter