Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning – Lecture 3 (Autumn 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

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