Explore key concepts in statistical learning theory and applications in this comprehensive lecture. Delve into topics such as least squares, gradient descent, regularization, induction, and early stopping. Gain insights into historical facts related to the field and engage in a name game to reinforce learning. Enhance your understanding of fundamental principles and practical applications in statistical learning through this in-depth class session.