• Markov Models

  • Understanding Data Science, Markov Models, and Unsupervised Machine Learning in Python
  • By: Duo Code
  • Narrated by: Zachary Sielaff
  • Length: 1 hr and 28 mins
  • Unabridged
  • Release date: 08-21-17
  • Language: English
  • Publisher: Saad Sarfraz
  • 4.1 (15 ratings)

Regular price: $6.95

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Publisher's Summary

Do you want to master data science? Want to learn how machine learning systems can carry out multifaceted processes by learning from data? How about understand Markov models and how they can help your correctly forecast future events? Want to explore practical implementations of Markov models in a Python programming environment? Then you should download your copy today. The 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 primary objective of this audiobook is to provide you with all the ins and outs of Markov models, and unsupervised machine learning over a range of multi-faceted applications. Specifically, the audiobook will explore practical implementations of Markov models in a Python programming environment.
You'll discover:



Types of machine learning algorithms
The mathematics behind Markov algorithms
Application of Markov models in python programming

Application of Markov models in:



Gaming
Speech recognition
Weather reporting
And much much more!

Download your copy today to gain a huge advantage over your competitors.
©2017 Duo (Code) (P)2017 Duo (Code)
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Customer Reviews

Most Helpful

By Sarah Daniels on 12-12-17

not a good book for audio

equations and code aren't good read aloud and that's all this is. there are no relatable examples it real world applications to help convey the information.

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2 of 2 people found this review helpful


By Gregory R. Baker on 12-30-17

Good book, but disastrous in audio format.

I suspect this will be a very useful book to read, but it was a disaster for me in audible format. I was hoping the author and narrator would find a clever and effective way to vocally convey the equations and source code which constitute the core of the material. Alas, it was even worse than I had feared. Grouping of terms, numerators, denominators, superscripts, subscripts all disappear into verbal linear streams of letters and numbers. Math and code are perhaps too visual for the visually unimpaired to grasp with hearing alone. I'd love to learn about the experiences of visually impaired students. Are tech books of this type useful in audio format? Are there effective techniques for narrating equations and code? I don't think the audible edition of this book succeeded at it.

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