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Machine Learning Fundamentals: A Concise Introduction Jiang, Hui (York University, Toronto) New edition
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Machine Learning Fundamentals: A Concise Introduction
Jiang, Hui (York University, Toronto)
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.
400 pages, Worked examples or Exercises
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 25, 2021 |
| ISBN13 | 9781108940023 |
| Publishers | Cambridge University Press |
| Pages | 418 |
| Dimensions | 255 × 204 × 27 mm · 900 g |
| Language | English |
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