This lecture by the instructor covers the concept of machine learning, focusing on inferring information from data. It explains how a smart person identifies patterns manually and how machine learning automates this process by training models with input data examples. The lecture also discusses the limitations of models and the evaluation of their quality through test data. Additionally, it introduces the supervised learning approach and the importance of training data in the machine learning algorithm.