Linear Algebra, Data Science, and Machine Learning - (Springer Undergraduate Texts in Mathematics and Technology) by Jeff Calder & Peter J Olver

Product Description

From the Back Cover This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and requires minimal mathematical prerequisites. There is a strong focus on learning how and why algorithms work, as well as developing facility with their practical applications. Apart from basic calculus, the underlying mathematics -- linear algebra, optimization, elementary probability, graph theory, and statistics -- is developed from scratch in a form best suited to the overall goals. In particular, the wide-ranging linear algebra components are unique in their ordering an…