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Bayesian cold-start recommender

Bayesian cold-start recommender

How we turned the BBC’s Efficient Learning algorithm into a cold-start reccommender.
Go to the profile of Matt Crooks
Matt Crooks
Efficient Learning — the BBC’s Bayesian quiz engine

Efficient Learning — the BBC’s Bayesian quiz engine

Learn how we utilise user data to personalise and improve BBC Bitesize’s Efficient Learning GCSE quiz
Go to the profile of Matt Crooks
Matt Crooks
How to do Data Science when you don’t have any data…

How to do Data Science when you don’t have any data…

This was exactly the situation that our Data Science Team faced during the Covid-19 crisis in March 2020. Find out how we created an ML…
Go to the profile of Matt Crooks
Matt Crooks
Measuring Podcast Trail Effectiveness

Measuring Podcast Trail Effectiveness

Measuring audio trail effectiveness without a full A/B test
Go to the profile of Daniel Hills
Daniel Hills
Increasing experiment sensitivity through pre-experiment variance reduction

Increasing experiment sensitivity through pre-experiment variance reduction

This article discusses how the Experimentation team have been accounting for pre-experiment variance in order to increase the statistical…
Go to the profile of Frank Hopkins
Frank Hopkins
Deploying R models in production with Apache Airflow and AWS Batch

Deploying R models in production with Apache Airflow and AWS Batch

Productionizing machine learning models in R: A step-by-step guide
Go to the profile of Teodor Popescu
Teodor Popescu
Experimentation: tools and techniques

Experimentation: tools and techniques

The Experimentation and Optimisation Team discuss the scripting tools they have developed to assist products throughout the…
Go to the profile of Frank Hopkins
Frank Hopkins
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