Phil Chodrow

Wow, chodrow is absolutely amazing. I feel like the course was structured very well, in that you basically go from being a statistics course to really learning about ML (CNNs and other models), until you finally apply your knowledge. It is extremely logical and felt pertinent especially with the opportunity to try out some GPT experimentation too.

Phil is an amazing professor. He makes detailed class notes that help with visualizing the class content and coding along with him. We start from the mathematical background of machine learning and learn all the way up to a brief understanding of LLMs. The final project is with 2-3 classmates, and we do whatever machine learning project we are interested in. I definitely encourage taking this class if you are interested in machine learning!

Phil is an amazing professor. He makes detailed class notes that help with visualizing the class content and coding along with him. We start from the mathematical background of machine learning and learn all the way up to a brief understanding of LLMs. The final project is with 2-3 classmates, and we do whatever machine learning proj …Read more

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