MIT: Machine Learning 6.036, Lecture 4: Logistic regression (Fall 2020)

YouTube Excerpt: * 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

* Lecture 4 for the MIT course 6.036: Introduction to Machine Learning (Fall 2020 Semester) * Full lecture information and slides:...

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