Machine Learning for Physicists/Chemists: Image Classification

This lecture introduces the basics of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence. The instructor covers topics such as dataset preparation, labeling, training sets, and testing sets, with examples of classifying images of cats and dogs. The lecture also delves into the importance of understanding the goal of the classification task, such as identifying whether an image contains a cat or a dog. Additionally, the lecture touches on the application of machine learning in analyzing medical images and patient data, emphasizing the significance of accurate classification for various research and practical purposes.