Documentation / by Dharaneesh Boobalan
Engineering knowledge base
"It's important to view knowledge as a sort of semantic tree—make sure you understand the fundamental principles before you get into the details."
All documentation
35 lessons
Linear Algebra for ML
Vectors, matrices, and the transformations behind every model — from a single arrow to Singular Value Decomposition.
Open
43 lessons
Machine Learning
Classical ML end to end — every model family derived from first principles, implemented by hand in Python and C++, and used the way production code actually uses it.
Open