Today's web analyst has moved far beyond funnels and visitors. Automated systems decide who gets what content, and language parsing tries to distill sentiment from millions of online interactions. This panel will look at where web analytics is headed, and how new algorithms and approaches are yielding fresh insights into online commerce.
Table of contents
- Title: Online Sentiment, Machine Learning, and Prediction
- Release date: March 2011
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449306205
You might also like
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
51+ hours of video instruction. Overview The professional programmer’s Deitel® video guide to Python development with …
Hilary Mason: An Introduction to Machine Learning with Web Data
Once you've accumulated a pile of data through your web application, what do you do with …
Getting Started with Machine Learning in Python
A+ guide to using Machine Learning to classify objects, predict future prices, and automatically learn fixes …