Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

Boyd, Stephen

ISBN 10: 1316518965 / ISBN 13: 9781316518960

Published by Cambridge University Press, 2018

Special order direct from the distributor. Seller Inventory # ING9781316518960

Synopsis:

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

Book Description: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.

Bibliographic Details

Title: Introduction to Applied Linear Algebra: ...
Publisher: Cambridge University Press
Publication Date: 2018
Binding: Hardcover
Condition: New
Edition: 1st Edition.