Introduction To Applied Linear Algebra: Vectors, Matrices, And Least Squares

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.

• | By (Author): Stephen (Stanford University, California) Boyd
• | Publisher: Cambridge University Press
• | Publication Date: Jun 07, 2018
• | Country of Publication: United Kingdom
• | Number of Pages: 474 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1316518965
• | ISBN-13: 9781316518960