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Discrete Stochastic Processes: Tools for Machine Learning and Data Science - Springer Undergraduate Mathematics Series Nicolas Privault 2024 edition
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Discrete Stochastic Processes: Tools for Machine Learning and Data Science - Springer Undergraduate Mathematics Series
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 8. oktobris |
| ISBN13 | 9783031658198 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 288 |
| Izmēri | 235 × 155 × 21 mm · 468 g |
| Valoda | Vācu |
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