Machine learning fundamentals. a concise introduction, new ed, paperback/hui (york university, toronto) jiang

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.