This episode provides an overview of machine learning, a field of computer science that focuses on creating algorithms that can learn from data. First, it defines machine learning and artificial intelligence and discusses why machine learning is important today. It also explores use cases and ethical challenges associated with machine learning. Then it reviews the different categories of machine learning, such as supervised, unsupervised, and reinforcement learning. It examines the applications and use cases for each type of machine learning and the challenges associated with using each type of algorithm.

New tracks tagged #reinforment learning