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Markov Models: An Introduction to Markov Models

Narrated by: William Bahl
Length: 2 hrs and 18 mins
Categories: Non-fiction, Technology
5 out of 5 stars (10 ratings)

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Summary

Markov Models

This book will offer you an insight into the hidden Markov Models as well as the Bayesian networks. Additionally, by listening to this book, you will also learn algorithms such as Markov chain sampling.

Furthermore, this book will also teach you how Markov models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrences is vital, as well as when events occur more than once. This book highlights several applications of Markov models.

Lastly, after purchasing this book, you will need to put in a lot of effort and time for you to reap the maximum benefits.

By listening to this book now, you will discover:

  • Hidden Markov models
  • Dynamic Bayesian networks
  • Stepwise mutations using the Wright Fisher model
  • Using normalized algorithms to update the formulas
  • Types of Markov processes
  • Important tools used with HMM
  • Machine learning
  • And much, much more!

Download this book now, and learn more about Markov models!

©2017 Steven Taylor (P)2017 Steven Taylor

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NICE BOOK TO HAVE

Very nice book with lots of useful information and enough case studies and learning materials. Best book.

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Good

The book is very well categorized into several sections and each section contains chapters related to various aspects of Markov Models.

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perfect book

I would definitely recommend this book to everyone interested in learning about
Markov Models from scratch and would say it is the best resource available among all other
Markov Models books.

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Useful guide

Useful for people with basic engineering or technical skills as an introduction to different techniques and use cases for data science.

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Informative book

This is my favorite book it is full of important information and it's always clear to understand the voice of the narrator, highly suggested.

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Amazing

Amazing 😁⚡😁⚡ really interesting and my rate it 5/5 because it was really good and was written like a classic.

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Different book

The kind of information that can make a difference in your decision making. Good style of writing and voice. I enjoyed it.

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Excellent book

I like the book, everyone raves about it for good reason. I found the narrator really annoying but pushed through it - very useful and highly recommended.

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Works best

Just started listening to this audiobook and I'm very excited to start learning. I purchased another book in the past that I did not like. The information was very hard and I just lost interest.This book seems to focus on simple information.

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Works best

Inspiring, engaging and very interesting. Excellent narrative uses data and information from a variety of sources to make objective points.

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  • patrick
  • 09-10-17

Good primer.

Sure, I had only basic knowledge of Markov Models, but it was great to see the Python code !!! I really really felt like this is a great start to HMM beyond what I could have found searching myself, because people always assume you understand some concepts before & rushing through small details. While this book does rush, it is a very well calculated rush, since the author gives just enough keywords for me to look into without feeling lost. Thank you again for the wonderful listen & the wonderful code. It is delightful to see probability models in Python code

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  • riza
  • 01-10-17

An Introduction to Markov Models

Markov models provide great flexibility in modelling the timing of events. They can be applied when simple parametric time-based models, such as exponential or python and its algorithm and time-to-failure models, are not sufficient to describe the dynamic aspects of a system's reliability or availability behavior; as may be the case for systems incorporating standby redundancy..Anyway,I am going to read this book again for a better and clearer understanding..This is my first time to encounter Markov models and this book satisfy my curiosity