Courses tagged "mathematics"

The mathematical foundations every programmer needs — logic, sets, functions, graph theory, and number theory — explained with code and real engineering applications.

The linear algebra every ML practitioner needs — vectors, matrices, transformations, eigenvalues, and how these map directly to neural networks, embeddings, and dimensionality reduction.

The mathematical toolkit for competitive programming — number theory, modular arithmetic, combinatorics, graph algorithms, and dynamic programming patterns used in contests like LeetCode, Codeforces, and ICPC.