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Markov Models: Supervised and Unsupervised Machine Learning

Mastering Data Science & Python
Narrated by: Lukas Arnold
Length: 1 hr and 49 mins
5 out of 5 stars (9 ratings)
Regular price: £6.59
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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

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    • Overall
      5 out of 5 stars
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    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

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      5 out of 5 stars

    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.

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    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.

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    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

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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.

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    Love this book

    Many books I read for python programming but this is a different book basically author provide details about how can we do work with Markov Models in python programming.

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    useful book

    This book is full of information that really helps you master data science. William Sullivan clearly knowledgeable of this thing. Educative book.

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      5 out of 5 stars

    Amazing book

    Great book on machine learning, in this book you can find the ins and outs of machine learning, and its real-world applications. Good book for beginners!

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    5 stars

    ARTIFICIAL INTELLIGENCE is the topic of the moment for IT professionals and now is the time to know this technology and start your preparation to surf this wave that is changing the way we use Information Technology

    0 of 1 people found this review helpful

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    • Fred
    • 03-03-18

    superficial and off topic

    The majority of this book tries to introduce generic data science topics to computer science novices, most of which are irrelevant to Markov models.
    the couple chapters that do cover Markov models are superficial.
    you'd be better off finding a couple good blog posts than getting this book.

    1 of 1 people found this review helpful

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    • Michael
    • 23-10-17

    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 !

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      5 out of 5 stars
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    • mary
    • 23-10-17

    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

    • Overall
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    • Lila
    • 23-10-17

    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

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    • Larry zhang
    • 23-10-17

    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

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    • Kelley
    • 23-10-17

    very impressive

    Impressive! Markov Models give me new knowledge in various fields. This book provides general information and how to use it in real life. It was a fairly quick read and I learned a lot. I used some of the algorithms for work. I recommend the book. Though I had some knowledge of HMM, this could be a good introduction. Highly recommended!

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    • Phil Muniz
    • 23-10-17

    good book

    Markov Models gives me new knowledge in various fields. The author should be commended for putting together the topic and pointing out the potential uses of the tool. Highly recommended this book

    • Overall
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    • jean
    • 23-10-17

    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.

    • Overall
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    • Henry
    • 23-10-17

    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.

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    • elizabeth
    • 23-10-17

    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.