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Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia Carlo Requiao da Cunha
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Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia
Carlo Requiao da Cunha
This textbook bridges this gap, providing an introduction to the mathematical foundations for the main algorithms used in machine learning for those from the physical sciences, without a formal background in computer science.
312 pages, 9 Tables, black and white; 87 Line drawings, black and white; 3 Halftones, black and whit
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 11, 2023 |
| ISBN13 | 9781032395234 |
| Publishers | Taylor & Francis Ltd |
| Pages | 266 |
| Dimensions | 234 × 155 × 21 mm · 432 g |
| Language | English |
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