Discrete Stochastic Processes: Tools for Machine Learning and Data Science by Ni
61,47 €
Discrete Stochastic Processes. 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.
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