Markov Models
Understanding Data Science, Markov Models, and Unsupervised Machine Learning in Python
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Markov Models
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ナレーター：
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Zachary Sielaff
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著者：
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Duo Code
このコンテンツについて
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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