Master Locally Weighted & Logistic Regression | Stanford CS229 Lecture 3 (Fall 2018) 📊

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-autumn2018.html An outline of this lecture includes: Linear Regression Recap Locally Weighted Regression Probabilistic Interpretation Logistic Regression Newton's method 00:00 Introduction - recap discussion on supervised learning 05:38 Locally weighted regression 05:53 Parametric learning algorithms and non-parametric learning algorithms 21:32 Probabilistic Interpretation 46:18 Logistic Regression 1:05:57 Newton's method #aicourse #andrewng