Statistical principles for decision making
How to measure whether your marketing is profitable
Noticing unexpected observations among an ocean of expected ones.
Featured on DataScienceCentral.com and @analyticbridge.
Predicting if customers plan to leave and finding the best intervention
A predictive model that uses the title, topic, and publish date of TED talks to estimate the number of times they will be viewed.
A program that evolves a prediction model for a given data set.
A website that ranks links based on votes. It aims to learn the most from each vote by selecting which articles visitors vote on and using a Bayesian estimator.
Interesting hack for following a topic HN-style […]Hilary Mason (@hmason), Data Scientist in Residence at Accel