Markov Models: Understanding Markov Models and Unsupervised Machine Learning in Python with Real-World Applications English | 2017 | ASIN: B06XFCP51L | 72 pages | AZW3 | 0.2 Mb
Discover How to Master Unsupervised Machine Learning and Crack Some of the Greatest Data Enigmas With Markov Models! Would you like to unlock the mysteries of Data Science? Are you yearning to understand how to make educated predictions on the weather, horse races, your unborn baby’s facial features, or your boss’s next black mood? Would you like a guide to explain these and many other “phenomenons” in clear, easy-to-understand language? If the answer is ‘yes’ then you’ll want to Download this book today! It’s never been easier to make predictions and smart analysis with the use of Markov Models. You don’t need a crystal ball or any wizardry. The only thing you need is science, some average high-school math skills and a decent knowledge of Python programming in order to solve the most perplexing problems. And if you’re unfamiliar with Python programming or Machine learning, don’t worry, it’ll all be explained in this book. Download This Book Today and Discover: How to program with Python The secrets behind unsupervised machine learning How to use Markov Models to master machine learning How to make predictions with Markov Models How to use Markov Chains How to use Hidden Markov Models The 3 main problems of Markov Models and how to overcome them How to use Python to find the probability of longer and more complex problems What packages to get for using Python for Markov Models How to implement HMM algorithms How to build a speech recognizer A code that will turn gibberish into understandable text How to forecast the weather The secrets behind Queueing Theory The Markov Mutation Model The Secret Structure of Google’s PageRank Algorithm How to perform Google PageRank in Python And much, much more!
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