Thank you for your interest in Linear Algebra and Learning from Data

Included below are the Table of Contents and selected sections from the book

Also included is an essay from SIAM News 'The Functions of Deep Learning' (December 2018)

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- The Functions of Deep Learning
- Deep Learning and Neural Nets
- Preface
- Table of Contents
- I.1 - Multiplication of
*Ax*Using Columns of*A* - I.2 - Matrix-Matrix Multiplication
*AB* - VII.1 - The Construction of Deep Neural Networks
- Counting Parameters in the Basic Factorizations
- Errata in the First Printing
- Matrix derivatives by Dan Drucker : Proof that
*A*is the closest rank_{k}*k*matrix to*A* - The Central Limit Theorem (page 288)

- Solutions for Chapter I
- Selected solutions by Elizabeth Chang-Davidson
- Selected solutions by Tony Tohme