Foundations of Data Science

by Avrim Blum, Ravindran Kannan, John Hopcroft

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms...

• Format: Hardcover
• Language: English
• ISBN: 1108485065
• ISBN13: 9781108485067
• Release Date: March 2020
• Publisher: Cambridge University Press
• Length: 432 Pages
• Weight: 2.00 lbs.
• Dimensions: 1.0" x 7.2" x 10.1"