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

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* algorithm d104 mining and recommender systems Occam's razor and its implications for machine learning Backpropogation and Multilayer preceptron Convolutional neural networks and much more! Grab your copy today! BONUS: Purchase the paperback and get the ebook absolutely free via Kindle Matchbook.

• | Author: Travis Booth
• | Publisher: Independently Published
• | Publication Date: Jul 19, 2019
• | Number of Pages: 194 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1081501235
• | ISBN-13: 9781081501235