Linear Algebra for Machine Learning book

Jay Alammar – Visualizing machine learning one concept at a time.

Deep-ML

The content provides an overview of a deep learning course, detailing its curriculum, key concepts, techniques, and practical implementations in areas like neural networks and optimization algorithms.

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Mariette Awad

Machine Learning for Absolute Beginners: A Plain English Introduction (First Edition)

Oliver Theobald

Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees

Chris Smith

Essential Math for Data Science

Thomas Nield

A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Arificial Intelligence Book 1)

Murat Durmus