Foundations: Python and Math for AI

From zero. Real Python you run yourself and only the math you need (vectors, matrices, probability, softmax, gradients). 8 chapters, live.

1. 1Your first Python: variables and types3 q
2. 2Lists and loops: many values at once3 q
3. 3Functions and dictionaries: reusable logic and lookups3 q
4. 4Vectors: the math object at the center of AI3 q
5. 5Matrices and the multiply that powers models3 q
6. 6Probability and softmax: turning scores into choices3 q
7. 7Derivatives and gradients: which way is downhill3 q
8. 8Gradient descent: how models learn3 q