Machine Learning Fundamentals. A Concise Introduction, New ed, Paperback

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.

• Publisher: Cambridge University Press
• Author(s): Hui (York University, Toronto) Jiang
• Illustration(s): Worked examples or Exercises
• Number of pages: 418
• Publication date: 2021
• Dimensions: 204 x 255 x 27
• Cover type: Paperback / softback