: Readers can find additional Wolfram Language resources and materials related to the book on the Wolfram Community. About the Author Introduction to Machine Learning - Wolfram Media

: Progresses from basic paradigms to advanced topics like deep learning and Bayesian inference. Core Topics Covered

Unlike dense academic textbooks, Bernard focuses on accessibility and reproducibility. The book is structured as a , where explanations are closely followed by functional code.

: The book is available in paperback and as an eBook through Wolfram Media and retailers like Amazon and Barnes & Noble .

A Guide to Introduction to Machine Learning by Etienne Bernard

Classification (e.g., image identification), regression (e.g., house price prediction), and clustering.