Week 2 Info: Generalization and the Bias-Variance Trade-Off
Welcome to Week 2! During this week we are going to learn about some of the foundational concepts of supervised learning, generalization and the Bias-Variance Trade-Off. These concepts relate to one of the most primary goals of machine learning, which is to make accurate predictions on unseen data, and the challenges in picking models that will enable that, a concept known as generalization. The Bias-Variance Trade-Off is one of the main frameworks for understanding why some models generalize well and others do not. We will try to cover these topics at an intuitive level. You can read more about them and your reading assignment for the week in Module 2.
This week we will also go over the basic structure of a machine learning project, through a code example in the scikit-learn machine learning library.
Lab 1 is due next Sunday at midnight.