APMA 2501

This class was extremely easy and counts towards your math science elective 1 requirement. Class meets twice a week and one day is focused on ethics and the other day is focused on machine learning. The hw consists of quick readings and an open note quiz each week. Ethics days are structured as discussions based on the readings that are for hw. Machine learning days are lectures where the professor goes over lessons from the Google Machine Learning Class Course. If you are taking this class for a requirement or interested in ethical data analysis it’s great. I would not recommend this class solely for learning machine learning as just going through the publicly available Google Machine Learning Crash Course the professor reads off of will be significantly more efficient and effective. There is a semester long project where your group makes a ml model (usually logistic regression) and explores a dataset and write up a report and presentation. There is no midterm or final exam. This course is cross listed as an sts and apma course. There is no practical difference so just take whatever satisfies your requirements. APMA just had one extra assignment at the end of the year that isn’t bad if you stop by office hours and mostly is just copy pasting given code.