November 2016
Beginner to intermediate
941 pages
21h 55m
English
Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life scenarios where you can use machine learning. You will understand what algorithms you should use in a given context using this exciting recipe-based guide.
This course starts by talking about various realms in machine learning followed by practical examples.
Module 1, Python Machine Learning Cookbook, teaches you about the algorithms that we use to build recommendation engines. We will learn how to apply these algorithms to collaborative filtering and movie recommendations. ...