How machine learning works
What a model actually learns from data, the three main kinds of problem, and why a model that looks perfect often isn't.
Harvard's CS50 AI: search, knowledge, uncertainty, optimisation, learning, neural networks and language, through Python projects.
From the team behind Harvard's famous CS50, this course explores the ideas and algorithms at the foundation of modern AI — from search and logic to probability, machine learning and neural networks — with a hands-on Python project for each topic. The materials are free online.
glitchdata links to this course; its content, schedule and pricing are set by Harvard University.
This course is run by Harvard University. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
cs50.harvard.edu ↗2 min read
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What a model actually learns from data, the three main kinds of problem, and why a model that looks perfect often isn't.
Decide where AI genuinely helps, whether to build or buy, how to measure success, and what could go wrong — before anyone writes code.
A free introduction to AI for non-experts — no programming or complicated maths required.