Phil Chodrow

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

Phil is a great professor and is clearly enthusiastic about the material. Class consisted of 3 problem sets, 3 mini projects, one midterm, 3 quizzes, and a final project. The deadline system was flexible and allowed for revisions, and exams were not too challenging. It was cool to learn how to use and implement machine learning algorithms on real data.