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Discrete Stochastic Processes: Tools for Machine Learning and Data Science - Springer Undergraduate Mathematics Series 2024 edition
Nicolas Privault
Discrete Stochastic Processes: Tools for Machine Learning and Data Science - Springer Undergraduate Mathematics Series 2024 edition
Nicolas Privault
This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property.
260 pages, 108 Illustrations, color; 11 Illustrations, black and white; X, 260 p. 119 illus., 108 il
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | October 8, 2024 |
ISBN13 | 9783031658198 |
Publishers | Springer International Publishing AG |
Pages | 288 |
Dimensions | 235 × 155 × 21 mm · 468 g |
Language | German |
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