AI and Math Books
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
This book is used as the textbook for our own courses ENGR108 (Stanford) and EE133A (UCLA), where you will find additional related material.
By Boyd and Vandenberghe
Understanding Machine Learning: From Theory to Algorithms
By Shai Shalev-Shwartz and Shai Ben-David
Neuronal Dynamics
From single neurons to networks and models of cognition
By Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski
A Brief Introduction to Neural Networks
Neural networks are a bio-inspired mechanism of data processing, that enables computers to learn technically similar to a brain and even generalize once solutions to enough problem instances are tought.
By David Kriesel
