Ideas

The concepts, tools and methods that make data science possible. In this section: Tutorials | DataScienceBites

Our ideas content is in development. Interested in contributing to Real World Data Science? Check out our call for contributions.

DataScienceBites logo overlaid on a busy conference scene.

Heading to a conference this summer? Share your learnings here
Content ideas
Call for contributions
Events
Calling all summer conference delegates! If you’re heading to one of this year’s big statistics and data science events, consider writing about your favourite paper or…
Brian Tarran
Jul 17, 2023

New York road signs pointing left and right, both reading 'One Way'.

Choosing the right forecast
Forecasting
Prediction
Robustness
Practitioners often select forecast methods based on averages of scores from many probabilistic forecasts. But this is not without its difficulties. A recent paper by Bolin…
Brian King
Jul 13, 2023

Nine small images with schematic representations of differently shaped neural networks, a human hand making a different gesture is placed behind each network.

Trusted AI: translating AI ethics from theory into practice
AI ethics
Principles
Regulation
Data scientists can act as critical enablers of ethical AI when they have the right knowledge and toolkits at their disposal. Maxine Setiawan and Mira Pijselman review three…
Maxine Setiawan and Mira Pijselman
Jul 3, 2023

Portrait of Adolphe Quetelet, superimposed on a photo of blooming purple lilacs. Quetelet portrait from Wikimedia Commons, Public Domain. Lilacs photo by Arina Bogachyova/iStock.

A demonstration of the law of the flowering plants
Prediction
History of data science
Statistics
The day a flower blooms is one of the earliest phenomena studied with systematic data collection and analysis. The prediction rule developed nearly three centuries ago is…
Jonathan Auerbach
Apr 13, 2023

A shopping trolley being pushed around a supermarket. Photo by Marjan Blan | @marjanblan on Unsplash.

Using ‘basket complementarity’ to make product recommendations
Market basket analysis
Recommendation systems
Complementarity
Purchase suggestions – e.g., “if you are buying that, you might also want this” – are, to a large extent, informed by the concept of complementarity: that certain products…
Moinak Bhaduri
Mar 2, 2023

A researcher in a field shines a light on stylised waves of noise, as if attempting to identify or extract a signal. Image generated by DALL.E 2 from prompts provided by Real World Data Science.

Pulling patterns out of data with a graph
Data management
Dimension reduction
Graph theory
Large volumes of data are pouring in every day from scientific experiments, so much so that it is now commonplace to perform dimension reduction in order to reduce a large…
Andrew Saydjari
Jan 24, 2023

Photo taken from the backseat of a Lyft vehicle. Driver is seen in profile to the left of the picture. Phone is mounted on the dash and displays a maps app that is tracking the route to the passenger's destination. Photo by Paul Hanaoka on Unsplash.

Determining the best way to route drivers for ridesharing via reinforcement learning
A/B testing
Reinforcement learning
Statistics
A/B testing is often used to evaluate the impact of design ‘treatments’ — for example, are people who see advert A more likely to buy something than those who see advert B?…
Brian King
Dec 13, 2022
No matching items