Artificial Intelligence
Train it yourself.
How Machines Learn
- How a Neural Network Thinks (Beginner): Teach a tiny network, one example at a time, and see how it learns.
- Learning From Data (Intermediate): Turn data into tables, ask the neighbors, grow decision trees and test fairly.
Language and Generation
- How Language Models Work (Intermediate): See how a chatbot picks every next word, reads in tokens and pays attention.
- Generative AI: Making New Things (Advanced): From noise to a picture: how machines make new things.
Perception
- How Machines See and Hear (Intermediate): Pictures and sounds become grids of numbers. Watch filters find edges.
Search, Reasoning and Agents
- Search, Games and Plans (Intermediate): Search, game trees and plans: the AI that thinks ahead instead of learning.
- Learning by Reward (Advanced): An agent tries, fails, gets a reward and slowly learns what works.
AI and Us
- AI and Us: Using AI Well (Intermediate): Bias, made up answers, deepfakes and privacy. Use AI with a clear head.
Inside Deep Learning
- Inside Deep Learning (Advanced): Open up a deep network: backprop, optimizers and why training goes wrong.
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