In this talk, we will explore the promise of classical and quantum algorithms in diverse learning contexts. This is a part-expository, part-research (chalk) talk designed with the goal of being accessible and engaging for everyone.

Time permitting, we will touch on PAC learning, online learning, worst-case vs. average-case learning, (generalized) Grover's algorithm, and learning with equivalence queries.