Machine Programming

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

Have you ever paused and wondered why some companies like Amazon know what you like and make timely recommendations to you? Have you noticed that some ads are really "sticky" and seem to follow you from your favorite websites to your Facebook or LinkedIn? Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you. Machine learning has become an important backend pillar for technologies to innovate and improve.

Grab this layman guide. Sound interesting? The author thinks so too! Listen to Machine Learning: Machine Learning in 2020, Vol 1 and learn about machine theory and computer networks.

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web.

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications and also a few examples of the different types of machine learning.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.