MIT: Machine Learning 6.036, Lecture 3: Features (Fall 2020)

* Lecture 3 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 / 15 * 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 0:05:29 A machine learning (ML) analysis 0:08:40 Encode data in usable form 0:13:55 Encode categorical data 0:32:41 Using a representative number for a range 0:37:33 Encode ordinal data 0:42:18 Encode numerical data 0:47:31 More benefits of plotting your data 0:57:15 Classification boundaries 1:01:13 Nonlinear boundaries 1:09:44 Evaluation of a learning algorithm