Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian networks by Valerio Pellicciari, Cornelius G. Dahling
Requirements: .ePUB reader, 1.2 MB
Overview: Markov models are a powerful predictive technique used to model stochastic systems using time-series data. They are centered around the fundamental property of “memorylessness”, stating that the outcome of a problem depends only on the current state of the system – historical data must be ignored.
Genre: Non-Fiction > Educational
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