Sequential Machine Learning

by Ben Gimpert

Sequential Machine Learning demonstrates the concepts of machine learning with big data modeling examples for email spam detection, tweet topic modeling, and algorithmic trading, while shying away from too much theory. This book will guide hackers and devops people to a practical understanding of the mathematics and jargon of sequential machine learning. You'll focus on Vowpal Wabbit, a powerful open source project for sequential machine learning with a serious learning curve. The payoff for this learning curve is important, since sequential models can be trained on the largest data sets around, such as the click stream of web banner advertisements, stock market ticks, or the Twitter firehose.

300 pages, Paperback

First published April 22, 2014