Markov Models: Supervised and Unsupervised Machine Learning
Mastering Data Science & Python
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Markov Models: Supervised and Unsupervised Machine Learning
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Narrated by:
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Lukas Arnold
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By:
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William Sullivan
About this listen
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:
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.
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What listeners say about Markov Models: Supervised and Unsupervised Machine Learning
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Syed
- 20-11-17
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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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Bertha
- 22-11-17
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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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Bruin.a
- 20-11-17
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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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- begum
- 22-11-17
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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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Dax
- 20-11-17
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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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Madeleine B Howard
- 22-11-17
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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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Marjorie
- 22-11-17
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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Overall5 out of 5 stars
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- aniruth
- 22-11-17
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
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Overall5 out of 5 stars
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- Abufarims
- 20-11-17
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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Overall1 out of 5 stars
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Performance1 out of 5 stars
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Story3 out of 5 stars
- MR TADHG DA SILVA
- 17-11-23
Unintelligible in audio form
Don't bother trying to listen to this, it's a direct readout of physical copy without any consideration for the change in medium
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