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Mathematics for Machine Learning Deisenroth, Marc Peter (University College London)
Mathematics for Machine Learning
Deisenroth, Marc Peter (University College London)
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
398 pages, Worked examples or Exercises; 106 Halftones, color; 3 Halftones, black and white
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 23, 2020 |
| ISBN13 | 9781108455145 |
| Publishers | Cambridge University Press |
| Pages | 398 |
| Dimensions | 444 × 234 × 15 mm · 734 g |
| Language | English |