Machine Learning, Artificial Intelligence, Software Engineering, Data Engineering, Programming.
prevent overfitting and how to build models that generalize well. Here’s an overview of the topics: Supervised learning Unsupervised learning Deep learning Generalization and regularization Reinforcement learning and control Stanford’s course is thorough and provides both the theoretical background