Quantum computers have the potential to solve certain classes of problems exponentially faster than any known classical techniques. In most cases, the theoretical proofs behind these speedups are decades old, but one exception to that rule is the exciting and highly active field of quantum machine learning (QML). In 2021, IBM researchers proved that quantum kernels can provide an exponential speedup over classical counterparts for certain classification problems. In this video, IBM Quantum developer advocate Abby Mitchell shows how QML methods give classical ML a boost and explains how developers can start building their very own QML algorithms with Qiskit Runtime.