algorithms

ML algorithms explained simply: Linear Regression, Decision Trees, KNN, clustering. When to use each, pros/cons, real examples.

Algorithms already execute most market trades. What happens when AI moves from executing human decisions to making all of them — and nobody is sure who's actually in charge?

False information can travel faster than truth on social media. This is a predictable result of how people and platforms behave. Here is what the research says about why it spreads and which fixes have evidence behind them.

Machine learning is how computers learn patterns from data instead of being told the rules. It powers everything from email spam filters to self-driving cars. Here's how it actually works.