MLG 004 Algorithms - Intuition

This podcast episode explores the fundamentals of machine learning, including the three-step process of infer or predict, error or loss, and train or learn. It provides examples of how these steps operate in the contexts of playing chess and predicting house prices. The episode also introduces concepts such as algorithms, models, and features, and discusses the three main categories of machine learning algorithms: supervised learning, unsupervised learning, and reinforcement learning. Overall, the episode emphasizes the importance of features and the role of different algorithms in the machine learning process.