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Fundamental Mathematical Concepts for Machine Learning in Science Umberto Michelucci 2024 edition
Fundamental Mathematical Concepts for Machine Learning in Science
Umberto Michelucci
It stands as an indispensable resource for any scientist keen on integrating machine learning effectively into their research. Numerous texts delve into the technical execution of machine learning algorithms, often overlooking the foundational concepts vital for fully grasping these methods.
249 pages, XVII, 249 p.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 17 de mayo de 2024 |
| ISBN13 | 9783031564307 |
| Editores | Springer International Publishing AG |
| Páginas | 249 |
| Dimensiones | 150 × 220 × 20 mm · 544 g |
| Lengua | Alemán |
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