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Machine Learning With Python Travis Booth

An in-depth guide to real world machine learning problems using python




Are books on python either too basic or too advanced for you? Are you familiar with python for beginners but are intimidated by the math that comes with more advanced topics?

Very few books bridge the gap in between. Are you looking for such a book?

Machine Learning With Python: An In-Depth Guide Beyond the Basics will take you beyond the mere basics and you will learn advanced techniques to create your very own self learning algorithms.

Inside you will learn:

The types of ML algorithms including K-Means and K-Nearest. How learning takes place in artificial neural networks. Dive into deep learning- the implications of supervised and unsupervised learning. Applications for translations, handwriting generation, credit history reports and game development. The best algorithm for pathfinding and data traversal. How all of the above applies to Siri and Alexa.

and so much more!

Machine learning is a fast growing field and this guide will bring your skills on par with those working in the industry, written by someone who is in the industry.


Explore the book by taking a look inside and check out how others have benefited from Machine Learning With Python.

Click 'Buy Now'!

Bonus: Get the E-Book absolutely free when you purchase the paperback with Kindle Matchbook!