Video description
Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives.
Table of contents
Product information
- Title: How the Wall Street Journal uses Machine Learning to predict lead conversions
- Author(s):
- Release date: June 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920424000
You might also like
book
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. …
video
Python Fundamentals
51+ hours of video instruction. Overview The professional programmer’s Deitel® video guide to Python development with …
video
O'Reilly Artificial Intelligence Conference 2019 - San Jose, California
The O’Reilly Artificial Intelligence Conference San Jose 2019 was some of the world’s top AI practitioners …
video
ODSC East 2018 (Open Data Science Conference)
ODSC The Open Data Science Conference has established itself as the leading conference in the field …