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Discrete Stochastic Processes Tools For Machine Learning And Data Science 2024th Edition Nicolas Privault

Name: Discrete Stochastic Processes Tools For Machine Learning And Data Science 2024th Edition Nicolas Privault
SKU: BELL-61420830
Price: 31.00 USD
Availability: InStock
Rating: 4.4 (22 reviews)

SKU: BELL-61420830

$ 31.00 ~~$ 45.00~~ (-31%)

4.4

22 reviews

Discrete Stochastic Processes Tools For Machine Learning And Data Science 2024th Edition Nicolas Privault instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 12.26 MB

Pages: 300

Author: Nicolas Privault

ISBN: 9783031658198, 3031658191

Language: English

Year: 2024

Edition: 2024

Product desciption

Discrete Stochastic Processes Tools For Machine Learning And Data Science 2024th Edition Nicolas Privault by Nicolas Privault 9783031658198, 3031658191 instant download after payment.

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning.