Markov Models: Understanding Markov Models and Unsupervised Machine Learning in Python with Real-World Applications

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!