This lecture introduces the concept of image classification, covering topics such as classifying images of cats and dogs, predicting survival time of cancer patients, clustering data, and the use of Alpha Go in gaming. It also delves into supervised and unsupervised learning, dimensionality reduction, representation learning, generative modeling, and reinforcement learning.