Hands-on Markov models with Python

Hands-on Markov models with Python: implement probabilistic models for learning complex data sequences using the Python ecosystem

by Ankur Ankan

Type Book
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Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.

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Title Statements

  • Full title :Hands-on Markov models with Python : implement probabilistic models for learning complex data sequences using the Python ecosystem / Ankur Arkan, Abinash Panda.

Summary

Hidden Markov Model (HMM) is a statistical model based on the Markov chain concept. Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems. The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.

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Edition Statements

  • Publication Date:2018

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham
  • Language:eng
  • Publication Date:2018

Notes

Índice.

MSC 60Jxx.

The Physical Object

  • Description:III, 167 p. : : gráf. ; : 24 cm

Edition Identifiers

  • ISBN:9781788625449, 1788625447
  • oclc:on1322974120

Subjects

Markov, Procesos de Python (Lenguaje de programación)

Writers

Ankur Ankan Panda, Abinash

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