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£43.02
Springer Discrete Stochastic Processes: Tools for Machine Learning and Data Science (Springer Undergraduate Mathematics Series)
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Most common price: £39 (78 days, 98.7%)
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Description
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.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 3031658191
- Domain
- Amazon UK
- Release Date
- 08 October 2024
- Listed Since
- 09 June 2024
Barcode
No barcode data available
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