Machine Learning: A First Course For Engineers And Scientists

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

• | By (Author): Andreas Lindholm
• | Publisher: Cambridge University Press
• | Publication Date: Mar 31, 2022
• | Country of Publication: United Kingdom
• | Number of Pages: 350 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 1108843603
• | ISBN-13: 9781108843607