Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning by Jocelyn Quaintance, Jean Gallier

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Linear Algebra and Optimization with Applications to Machine Learning

Jocelyn Quaintance, Jean Gallier

824 pages missing pub info (editions)

informative reflective medium-paced
Powered by AI (Beta)

For the ambitious computer scientist, engineer, or mathematician seeking to unlock the secrets of linear algebra and its applications in computer vision, robotics, and machine learning, this book is a treasure trove of mathematical fundamentals and real-world examples that will empower them to make significant contributions in their field.

Description

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a r...

Read more

Community reviews

This book doesn't have any reviews or ratings yet!

If you've read it, mark it as 'read' and add a review to help others in the StoryGraph community figure out if it might be a book for them!

Content Warnings

This book doesn't have any content warnings yet!

If you're the author of this book and want to add author-approved content warnings, please email us at support@thestorygraph.com to request the content warning form.

Accept and close

By using The StoryGraph, you agree to our use of cookies.
We use a small number of cookies to provide you with a great experience.

Find out more