Machine Learning With Python: An In-Depth Guide Beyond the Basics

By Travis Booth

A deeper dive into Machine Learning using Python

The second book in the Machine Learning with Python series is here and is primed to give you a deeper insight into machine learning and its topics.

While the first book established the basics, this book will explore them in greater depth to give you a far better understanding with practical examples and real world applications.

Inside you will learn all about:

Writing different ML algorithms- linear/logisctic regression, decision trees etc.Data structures when working with the A* algorithmd104 mining and recommender systemsOccam's razor and its implications for machine learningBackpropogation and Multilayer preceptronConvolutional neural networks

and much more

Grab your copy today

BONUS: Purchase the paperback and get the ebook absolutely free via Kindle Matchbook.

• Format: Paperback
• Language: English
• ISBN: 1081501235
• ISBN13: 9781081501235
• Release Date: July 2019
• Publisher: Independently Published
• Length: 196 Pages
• Weight: 0.59 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"