Paradigm

The Backtracking Paradigm

Learn how backtracking systematically builds candidate solutions and abandons paths that cannot possibly succeed.

The Divide and Conquer Paradigm

Learn how divide, conquer, and combine steps break large problems into smaller solvable subproblems.

The Greedy Algorithm Paradigm

Learn how greedy algorithms build solutions one locally optimal choice at a time, and when that strategy actually yields a global optimum.

ML vs Traditional Programming

A conceptual comparison of machine learning and traditional rule-based programming, focused on how each approach turns inputs into outputs and when each is the…