MIT: Machine Learning 6. 036, Lecture 13: Clustering ( Fall 2020)

Lecture 13 for the MIT course 6. 036: Introduction to Machine Learning (Fall 2020 Semester) Full lecture information and slides: Lecture date: 2020, 12, 01 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: 0:00:00 Overview 0:00:43 Motivating Example: Food distribution placement 0:10:20 kmeans algorithm 0:23:33 Compare to classification 0:27:44 Clustering related 0:36:07 kmeans algorithm: initialization 0:44:41 kmeans algorithm: effect of k 0:47:24 kmeans algorithm: choosing k 0:54:45 Cluster shape 1:06:54 Recap: Machine learning (ML): why what