Markov Models
Understanding Data Science, Markov Models, and Unsupervised Machine Learning in Python
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Markov Models
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Narrated by:
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Zachary Sielaff
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By:
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Duo Code
About this listen
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.
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What listeners say about Markov Models
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall1 out of 5 stars
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Performance2 out of 5 stars
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Story1 out of 5 stars
- Sarah Lambert
- 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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3 people found this helpful
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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
- patrick
- 08-27-17
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
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Overall1 out of 5 stars
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Performance2 out of 5 stars
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Story2 out of 5 stars
- Gregory R. Baker
- 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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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Jack Frasier
- 09-10-18
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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