Machine Learning and Big Data Analytics

Harvard Graduate Elective

This course provides an introduction to the theory and applications of some of the most popular machine learning techniques. It is designed for students interested in using machine learning and related analytical techniques to make better decisions in order to solve policy and societal level problems. We will cover various recent techniques and their applications from supervised, unsupervised, and reinforcement learning. In addition, students will get the chance to work with some data sets using software and apply their knowledge to a variety of examples from a broad array of industries and policy domains.

Course details

Level: Graduate
Professor: Dr. Soroush Saghafian
Terms: Fall 2024; Spring 2024; Spring 2023
Class size: 49; 100; 120
Course assistant rating: 5.0/5.0; 5,0/5.0; N/A*

Course objectives

to learn to interpret regression estimates
to devellop skills related to causal inference and prediction
to practice statistical analysis in R using quasi-experimental techniques

Student reviews

2024 Fall

"I interacted with Omar several times this semester, mainly at his office hours. He's one of the best CAs I've run into at Kennedy. He can explain complex concepts clearly and simply. He's also generous with his time."
"Omar was always super effective in delivering support in many ways. He made content accessible without overprescribing learning. He allowed independent learning while ensuring support. This made a difference. I also want to outline how Omar went above and beyond to be available, which truly made big difference for this course."
"Best TA I ever had."
"He is extremely helpful and always provided me great support. Not only he understands very much about the topic, but also is very kind when handling doubts and providing guidance."
"Friendly, kind, and supportive."

2024 Spring

"I like the fact you go above and beyond in your office hours to help people understand the topic and coding. Have rarely met anyone who puts so much heart, effort and thought into their office hours!"
"Omar was always eager to help and always showed depth of his knowledge of the course."
"Omar was always very helpful and respectful whenever I asked him questions. I was surprised by his thorough, step-by-step explanations he provided me to help me understand the concept. I appreciate efforts and time he spent to assist us."
"He is just perfect!"

Student ratings and reviews were not collected in the Spring 2023 semester.