Phil Chodrow

Machine learning with Phil was fantastic. Recently reworked from the previous year. Started really foundational with theory and math heavy problem sets. You will probably need to do a little off camera mining for some concepts such as partial differentiation and brush up on linear algebra, but nothing crazy and it is absolutely chill if you put in some modest effort. Eventually worked up to using Numpy and Pytorch to implement concepts from psets into mini-projects where we made data pipelines to train/test/evaluate several different ML models. Final project is very broad in scope and allows for lots of creativity and complexity. Can work in groups or solo dolo for the final project. Syllabus and coursework can be found here if you want to take a peek: go/cs-451

Machine learning with Phil was fantastic. Recently reworked from the previous year. Started really foundational with theory and math heavy problem sets. You will probably need to do a little off camera mining for some concepts such as partial differentiation and brush up on linear algebra, but nothing crazy and it is absolutely chill …Read more

I really enjoyed Machine Learning with Phil. He truly is passionate about the material - especially the underlying math that powers machine learning under the hood. As a result the class does feel a little bit more math heavy than an average CS class. However, Phil is very accommodating and helpful and just fun to chat with too. Moreover, the course has been renovated too give a deep and broad understanding of modern machine learning with a heavy focus on project-based learning.

I really enjoyed Machine Learning with Phil. He truly is passionate about the material - especially the underlying math that powers machine learning under the hood. As a result the class does feel a little bit more math heavy than an average CS class. However, Phil is very accommodating and helpful and just fun to chat with too. More …Read more

This course was well-set up and crafted. Lectures are a mix of theory at the board, and then applying what you learned in class-wide live coding sessions. The content is challenging but very doable: 3 HWs, 3 Miniproject, 1 Midterm, 3 quizzes, and 1 final project. The quizzes are essentially reviews of lecture notes, and the midterm incorporates HW and quizzes problems. Super cool class definitely recommend.

This course was well-set up and crafted. Lectures are a mix of theory at the board, and then applying what you learned in class-wide live coding sessions. The content is challenging but very doable: 3 HWs, 3 Miniproject, 1 Midterm, 3 quizzes, and 1 final project. The quizzes are essentially reviews of lecture notes, and the midterm i …Read more