Hypothesis Space and Learning Task

This lecture covers the concept of hypothesis space, modeling functions, supervised learning tasks, cost functions, and risk minimization in machine learning. It explains how to find optimal hypotheses, quantify the quality of predictions, and choose appropriate cost functions.