• 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 Audiobook
  • Release date: 21-08-17
  • Language: English
  • Publisher: Saad Sarfraz
  • 5 out of 5 stars (1 rating)

Regular price: £6.59

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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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  • Overall
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  • Sarah Daniels
  • 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.

3 of 3 people found this review helpful

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  • Jack Frasier
  • 10-09-18

excellent info as audiobook

I plan on getting a text of this info. but I'm so glad it's on audiobook as well. anyone who knows code well enough can listen to it and get the basic idea of these fascinating machine learning constructs.

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  • Gregory R. Baker
  • 30-12-17

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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  • patrick
  • 27-08-17

Useful guide

It looks like Artificial Intellect is the next step in human technologies development. Yep, as for me, unsupervised learning of computers is a pretty similar to human brain functioning. Analyzing each formula will make it easier for you to understand the problem

0 of 2 people found this review helpful

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  • joseph
  • 03-09-17

EXTRAORDINARY

Would you consider the audio edition of Markov Models to be better than the print version?

Yes, it very easy and very useful than print version

Which character – as performed by Zachary Sielaff – was your favorite?

Book and good for everyone. I loved it and recommended all.

Did you have an extreme reaction to this book? Did it make you laugh or cry?

No

Any additional comments?

Great writing. The author Duo Code shows us here what is Markov Models, how it works, how it helps in algorithm, Hidden Markov Models etc. This book helps me a lot to understand Markov Models. This is a very good book about what Markov models is and how it operates. It is a quick read and to the point. Get some background insight on what machines can learn on their own and how it is applied in practical life.

0 of 3 people found this review helpful

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  • gavin
  • 03-09-17

Awesome book for Computer Science Students !!!!

If you could sum up Markov Models in three words, what would they be?

Awesome book

Have you listened to any of Zachary Sielaff’s other performances before? How does this one compare?

No i will not compare bcoz this is my first book.

Any additional comments?

This books gives a great insight into the future of computing. It steps away from computer programming, and gives a fantastic overview on algorithms and how they work. This book explained the basic concepts to me in a nice and compact way. it is an absolute beginner's book after all.

0 of 3 people found this review helpful

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  • Elizabeth
  • 02-09-17

Great information!

This is an informative guide for the reader indeed. The Markov models give amazing flexibility in arranging of events. In this book you'll learn how to deal with impossible machine learning issues in a short period of time. I have the tools, code, and processes predicted that would acceptably use Markov Models for any event. I recommend this book.

0 of 3 people found this review helpful

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  • rabhia
  • 02-09-17

A Great book to decode data science

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.

This book will appeal to all readers interested in Markov software.

0 of 3 people found this review helpful

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  • Aaliyah
  • 31-08-17

This book is very well researched.

This was a solid quick start to understanding the fundamentals of markov models. Whatever this book explains is precise and clear.There wasn't a time when listening the book where I was confused.It was a fairly quick read and I learned a lot.

0 of 3 people found this review helpful

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  • abram
  • 31-08-17

Easy to follow.

Would you recommend this audiobook to a friend? If so, why?

This is a wide topic to discuss, I bought a book that would summarize the whole discussion and this book has given me a lot of information. Yes i'll...

What was one of the most memorable moments of Markov Models?

Only few people are studying about data science because this is composed of complex and tons of deep discussion if you are not good at analyzing then you cannot be here

Did you have an extreme reaction to this book? Did it make you laugh or cry?

No

Any additional comments?

Algorithms are easy if you just memorized the formulas that provided like the probability axioms. Analyzing each formula will make it easier for you to understand the problem.

0 of 3 people found this review helpful