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Markov Models: Supervised and Unsupervised Machine Learning Audiobook

Markov Models: Supervised and Unsupervised Machine Learning: Mastering Data Science & Python

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Publisher's Summary

Do you want to master data science?

Understand Markov models and learn the real world application to accurately predict future events.

Extend your knowledge of machine learning, python programming, and algorithms.

What you'll learn:

  • Mathematics behind Markov algorithms
  • Three main problems of Markov models and how to overcome them
  • Uses and applications for machine learning
  • Python programming
  • Speech recognition
  • Weather reporting
  • The Markov rule and Markov's model
  • Fundamental axioms of statistics and probability
  • Solutions
  • Theories
  • Artificial intelligence
  • Bayesian inference
  • Important tools used with HMM
  • And much, much more!

    The objective of this book is to teach you the essentials at the most fundamental level. You will learn the ins and outs of machine learning, and its real world applications. Also, specifically you will discover practical implementations of Markov models in Python programming.

    This audiobook offers high value and is the greatest investment in your knowledge base you can make that will benefit you in the long run. Why not take this opportunity to take advantage now and get ahead of everyone else?

    Get equipped with the knowledge you need to advance yourself today.

  • ©2017 Healthy Pragmatic Solutions Inc. (P)2017 Healthy Pragmatic Solutions Inc.

    What Members Say

    Average Customer Rating

    5.0 (15 )
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    5.0 (15 )
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    4.7 (15 )
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     (11)
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    Performance
    Sort by:
    •  
      Marjorie 22/11/2017
      Marjorie 22/11/2017
      ratings
      REVIEWS
      11
      11
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      Performance
      Story
      "nice"

      This is a very interesting book about Markov Models: Introduction to Markov Chains, Hidden Markov Models and Bayesian networks. In it I listened a lot of interesting and informative about Foundations of Markov Models, Case Study: Google PageRank and Inference Tasks

      0 of 0 people found this review helpful
    •  
      Madeleine B Howard 22/11/2017
      ratings
      REVIEWS
      8
      8
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      Performance
      Story
      "easy to understand"

      The simplest Markov model is the Markov chain. It models the state of a system with a random variable that changes through time.

      By listening this book, I was able to learn the foundation of Markov Models, Markov chains, hidden Markov models and many useful information. Great read. easy to understand.

      0 of 0 people found this review helpful
    •  
      Bertha 22/11/2017
      Bertha 22/11/2017
      HELPFUL VOTES
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      16
      16
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      Story
      "great book"

      Very Informative. Great book a friend of mine lent me this book to read as I am new to machines and I needed to get some information and this book helped greatly. I would encourage anyone who want to learn about machines to get this book right away.

      0 of 0 people found this review helpful
    •  
      begum 22/11/2017
      begum 22/11/2017
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      REVIEWS
      34
      34
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      Performance
      Story
      "what i expected"

      Great introduction to marcov models, which is a term that gets confused a great deal.

      Clear and simple, in my case, it's all I needed, but it can get you started, if you want to go deeper

      0 of 0 people found this review helpful
    •  
      Mathew john 21/11/2017
      Mathew john 21/11/2017
      ratings
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      50
      48
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      Story
      "Markov Models"

      I would like to thank the author for presenting such a great book. It gives lots of useful information.

      0 of 0 people found this review helpful
    •  
      Ola 21/11/2017
      Ola 21/11/2017
      HELPFUL VOTES
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      41
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      "highly recommended"

      This book is about Markov Models: Supervised and Unsupervised Machine Learning: Mastering Data Science & Python

      0 of 0 people found this review helpful
    •  
      Rimsha 20/11/2017
      Rimsha 20/11/2017
      HELPFUL VOTES
      12
      ratings
      REVIEWS
      126
      124
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      0
      0
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      Story
      "Useful book"

      This book learning is based on increasing knowledge of machine learning, python programming and algorithms.

      0 of 0 people found this review helpful
    •  
      Horatio 20/11/2017
      Horatio 20/11/2017
      HELPFUL VOTES
      3
      ratings
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      38
      37
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      1
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      Story
      "Love this book"

      This is a prescribed book on MARKOV MODELS. This book is best served with a strong background.I recommended this book.

      0 of 0 people found this review helpful
    •  
      Iva Livingston 20/11/2017
      Iva Livingston 20/11/2017
      HELPFUL VOTES
      4
      ratings
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      71
      68
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      "informative book"

      This is a great book on Markov Models. I read this book and am very pleased.

      0 of 0 people found this review helpful
    •  
      Bruin 20/11/2017
      Bruin 20/11/2017
      HELPFUL VOTES
      1
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      37
      37
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      "Thanks to the author....."

      I think this is a very good book. The author did a good job with this book. I would recommend for all.

      0 of 0 people found this review helpful
    Sort by:
    • nancy
      23/10/17
      Overall
      Performance
      Story
      "4 stars"

      I like the book. But I gave 4 stars for this one I bought because it contains too many types. I have gotten some background in probability so I wished I could guess what their right words should be.

      0 of 0 people found this review helpful
    • Michael
      23/10/17
      Overall
      Performance
      Story
      "thanks to author"

      Thank to my best friend for sharing this book. I find this book very informative and also this book has impressive introduction about markov models. Great !

      0 of 0 people found this review helpful
    • mary
      23/10/17
      Overall
      Performance
      Story
      "highly recommended"

      This book provides general information and how to use it in real life. To my mind, it will suit everyone who wants to know more and seeks self-development. This book is not easy, but very interesting and useful. I first listened about such models. This is quite interesting. I learned Markov Models from this book

      0 of 0 people found this review helpful
    • Louise
      23/10/17
      Overall
      Performance
      Story
      "good book"

      This book is really amazing and useful book. I just love this book. Its really super. Highly recommended. Boost to buy it

      0 of 0 people found this review helpful
    • Lila
      23/10/17
      Overall
      Performance
      Story
      "knowledgable"

      This subject is quite intriguing to me as it helps me know what Markov models are and how it works. This book has offered great ideas in which I can use in the future. The author is clearly knowledgeable

      0 of 0 people found this review helpful
    • Larry zhang
      23/10/17
      Overall
      Performance
      Story
      "5 stars"

      A very brief overview of the subject matter. Good for someone only starting to gather knowledge about Markov models. Includes some Python code and overview of different Python libraries and their applications. A very good starting point

      0 of 0 people found this review helpful
    • jean
      23/10/17
      Overall
      Performance
      Story
      "great job"

      Appropriate and right to the main issues. The author should be commended for putting together the topic and and pointing out the potential uses of this tool.

      0 of 0 people found this review helpful
    • Henry
      23/10/17
      Overall
      Performance
      Story
      "easy to understand"

      This is the good book to start Markov model.well organized. They have taken till the first order of Markov chain but whatever this book explains is precise and clear. It was a fairly quick read and I learned a lot.

      0 of 0 people found this review helpful
    • Hank tom
      23/10/17
      Overall
      Performance
      Story
      "practical models"

      The primary aim of machine learning is to train the computers or machine to learn on its own and make informed decisions in a relatively shorter time than what human beings can do.The markov models book will teach you all about the markov model as an unsupervised machine learning algorithm over a range of multi-faceted applications. You will also explore practical implementations of this model in a python programming environment

      0 of 0 people found this review helpful
    • elizabeth
      23/10/17
      Overall
      Performance
      Story
      "a great book"

      Untangle complex data confusions with the mathematical model called markov models. Markov models makes use of probability to be able to make predictions on what the future state of - for an example - the weather, might be. Different tools and codes are discussed.

      0 of 0 people found this review helpful

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