Machine Learning: A First Course for Engineers and Scientists

by Andreas Lindholm, Fredrik Lindsten, Niklas Wahlstrm, et al.

This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the most fundamental (k-NN, decision trees, linear and logistic regression) to more advanced methods (deep neural networks, support vector machines, Gaussian processes, random forests and boosting), plus commonly-used...

• Format: Hardcover
• Language: English
• ISBN: 1108843603
• ISBN13: 9781108843607
• Release Date: June 2022
• Publisher: Cambridge University Press
• Length: 350 Pages
• Weight: 1.90 lbs.
• Dimensions: 0.8" x 7.2" x 10.1"