Neural-PathPart III
Machine Learning
Classical and modern machine learning from first principles. Linear models, trees, neural networks, NLP, and the theory that explains why the algorithms work.
3 modules22 lessons
15
Classical ML Foundations
Linear models, trees, and the core concepts every ML engineer must know.
7 lessonsStart →
16
NLP Essentials
Classical NLP from tokenization through n-gram language models, text classification, and sequence labeling — the pre-neural foundations every practitioner needs.
5 lessonsStart →
17
Deep Learning
Neural networks from backprop to Transformers.
10 lessonsStart →