Home Glossary Regression

Regression - Page 3

Regression is a supervised learning task that predicts a continuous numerical value rather than a category. Examples include estimating a home’s price, forecasting energy demand, predicting delivery time, or measuring how a treatment may change an outcome. Linear regression models a straight-line relationship, while trees, neural networks, and other methods can capture more complex patterns. Evaluation may use mean absolute error, mean squared error, or domain-specific measures that reflect the cost of mistakes. Predictions should include uncertainty where possible, especially beyond the range of training data. Correlation learned by regression does not establish causation, and strong benchmark performance does not protect against changing real-world conditions.

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer
By • 3 mins read
AI & Machine Learning, Immersive Reality (AR, VR, MR, and XR), News, Startups & Investment

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer

By • 3 mins read

Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’