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.
A non-technical course by Andrew Ng on what AI can and can't do, and how organisations adopt it.
Aimed at managers and anyone who works alongside AI rather than building it. It explains the terminology, what makes a good AI project, how AI teams work, and the effect of AI on society — no programming required.
glitchdata links to this course; its content, schedule and pricing are set by DeepLearning.AI.
This course is run by DeepLearning.AI. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
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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.