MIT 6.036 Machine Learning Lecture 4: Mastering Logistic Regression 📊

* Lecture 4 for the MIT course 6.036: Introduction to Machine Learning (Fall 2020 Semester)
* Full lecture information and slides: http://tamarabroderick.com/ml.html
* Lecture date: 2020 / 09 / 22
* Lecturer: Tamara Broderick
* Lecture TAs: Crystal Wang and Satvat Jagwani

If you find any ways to improve how well the video captions reflect the live lectures, please submit a pull request to: https://github.com/tbroderick/ml_6036_2020_captions

0:00:00 Overview, review, and motivation
0:06:06 Capturing uncertainty
0:20:15 Linear logistic classification
0:45:51 Gradient descent
0:53:07 Gradient descent properties
1:00:03 Gradient descent for logistic regression
1:08:51 Logistic regression loss revisited
1:14:38 Logistic regression learning algorithm