Machine Learning Fundamentals: A Concise Introduction

This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.

• | By (Author): Hui (York University, Toronto) Jiang
• | Publisher: Cambridge University Press
• | Publication Date: Nov 25, 2021
• | Country of Publication: United Kingdom
• | Number of Pages: 418 pages
• | Language: Unknown
• | Binding: Softback
• | ISBN-10: 1108940021
• | ISBN-13: 9781108940023