Ten Ways Your Data Project is Going to Fail Introduction Data science continues to generate excitement and yet real-world results can often disappoint business stakeholders. How can we mitigate risk and ensure results match expectations? Working as a technical data scientist at

Debate on Data Science at the Royal Statistical Society Debate hosted at the Royal Statistical Society, 19th May 2015. Zoubin Ghahramani (Professor of Machine Learning, University of Cambridge) Chris Wiggins (Chief Data Scientist, New York Times) David Hand (Emeritus Professor of Mathematics,

Most Winning A/B Test Results are Illusory Whitepaper about errors in A/B testing, written for Qubit. Covered at qz.com and Hacker News Introduction Marketers have begun to question the value of A/B testing, asking: â€˜Where is my

My Opinionated Talk on A/B Testing Talk from PyData London 2014 Most Winning A/B Test Results are Illusory Talk Summary Many people have started to suspect that their A/B testing results are not what they seem. A/

The Big Data Backlash Reposted from Google+ (Mar 30, 2014) So, the inevitable backlash against 'Big Data' has begun. In an article in the Financial Times yesterday, journalist Tim Harford suggests that Big Data analyses are more

What is Data Science and Does it Matter? It starts like a typical data science job interview - I summarise my resume and they describe their core products. They describe what their data looks like and we have a very interesting