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Matt Crooks
Matt Crooks

201 Followers

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Published in

Towards Data Science

·May 17

A Review of Propensity Score Modelling Approaches

A review of different approaches to using propensity scores in causal inference modelling — In this article I’ll introduce the concept of a propensity score and what they’re used for before presenting 3 common methodologies. I’ll be discussing the following propensity score models: Propensity Score Matching with replacement (PSM) Propensity Score Matching without replacement (PSM w/o) Inverse Propensity Score Weighting (IPSW)

Data Science

11 min read

A Review of Propensity Score Modelling Approaches
A Review of Propensity Score Modelling Approaches
Data Science

11 min read


Sep 28, 2022

How to Set Up rcParams in Matplotlib

A simple guide to setting default plotting parameters in matplotlib’s rcParam — Matplotlib gets a lot of stick I think it’s unfair. I’ll admit that if you just run plt.plot() then you’ll get something quite ugly but it is, in my view, the best plotting package in python and a largely unavoidable one. Alternatives Ok, so you don’t like matplotlib and are considering…

Data Science

7 min read

How to Set Up rcParams in Matplotlib
How to Set Up rcParams in Matplotlib
Data Science

7 min read


Published in

Towards Data Science

·Aug 31, 2022

Why Statistical Significance is ruining your AB tests

How to double your rate of experimentation and double your experimentation output — Statistical significance in AB testing is pretty widely regarded as a benchmark statistic for deciding when to stop an experiment and ultimately whether to roll out a new feature following an AB test. …

Experiment

8 min read

Why Statistical Significance is ruining your AB tests
Why Statistical Significance is ruining your AB tests
Experiment

8 min read


Published in

Towards Data Science

·Jul 26, 2022

Bayesian Experimentation Metrics Explained

At Typeform we’ve adopted GrowthBook as our experimentation platform for AB testing. GrowthBook calculates 3 Bayesian statistics on your metrics to help you draw conclusions about your new features: Uplift Chance to Beat Control Loss or Risk of Choosing Variant In this article I’ll explain what they are and how…

Bayesian Statistics

5 min read

Bayesian Experimentation Metrics Explained
Bayesian Experimentation Metrics Explained
Bayesian Statistics

5 min read


Published in

Towards Data Science

·Jul 26, 2022

How to Get the Most out of GrowthBook

An open source approach to streamlining A/B testing — GrowthBook is an open source tool for AB testing offering both feature flagging functionality and analysis tooling. The analysis tooling, which is the focus of this article, sits over the top of your data warehouse and interacts through SQL queries with any existing data you’re collecting on your users. This…

Data Science

6 min read

How to get the Most out of GrowthBook
How to get the Most out of GrowthBook
Data Science

6 min read


Published in

BBC Data Science

·Jun 25, 2021

Bayesian cold-start recommender

I’ve spent much of the past year prototyping, productionising, and developing the efficient learning algorithm for BBC Bitesize. Our ambitions for the Bayesian framework that underpins the Bitesize quiz have always gone beyond just a quiz. Once we got the initial prototype of the quiz up and running we…

Recommendation System

11 min read

Bayesian cold-start recommender
Bayesian cold-start recommender
Recommendation System

11 min read


Published in

BBC Data Science

·Jun 14, 2021

Efficient Learning — the BBC’s Bayesian quiz engine

In this article, I’m going to give an overview of Bayesian statistics and talk about how we utilise user data to personalise and improve BBC Bitesize’s Efficient Learning GCSE quiz. Example Let’s start with an example for context. Suppose you flip a coin 3 times and get heads each time. …

Data Science

9 min read

Efficient Learning — the BBC’s Bayesian quiz engine
Efficient Learning — the BBC’s Bayesian quiz engine
Data Science

9 min read


Published in

Towards Data Science

·May 19, 2021

Predicting School Holidays from BBC iPlayer Viewing

Can we tell whether kids are in school just from the viewing of certain TV shows on BBC iPlayer? Spoiler— yes! We can also identify when schools are closed due to snow! This was the first project I worked on at the BBC, and remains one of the most fun…

Data Science

12 min read

Predicting School Holidays from BBC iPlayer Viewing
Predicting School Holidays from BBC iPlayer Viewing
Data Science

12 min read


Published in

BBC Data Science

·Jan 18, 2021

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 quiz engine with no data or questions. To find out how we did, try it for yourself!

BBC

6 min read

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

6 min read


Published in

Towards Data Science

·Apr 21, 2020

How effective is the UK’s Covid-19 response?

In the first week of the UK’s lockdown, a co-worker shared this article from the Washington Post. I was inspired by the great simulations of how diseases spread and the demonstrations of how some social distancing measures can help to reduce the spread. In response to reading the article, I…

Science

7 min read

How effective is the UK’s Covid-19 response?
How effective is the UK’s Covid-19 response?
Science

7 min read

Matt Crooks

Matt Crooks

201 Followers

Principal Data Scientist - BBC

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