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Machine Learning Refined: Foundations, Algorithms, and Applications Watt, Jeremy (Northwestern University, Illinois) 2 Revised edition
Machine Learning Refined: Foundations, Algorithms, and Applications
Watt, Jeremy (Northwestern University, Illinois)
An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.
544 pages, Worked examples or Exercises; 25 Halftones, color; 291 Line drawings, color
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | January 9, 2020 |
| ISBN13 | 9781108480727 |
| Publishers | Cambridge University Press |
| Pages | 594 |
| Dimensions | 177 × 246 × 30 mm · 1.28 kg |
| Language | English |