NMEP Fall 2024
Welcome everyone! In the New Member Education Program (NMEP), we’ll be paving a sturdy ML foundation for you—from classical ML to diffusion models. Come hungry to learn and get to know the rest of your class!
Your instructors this semester are Tejas Prabhune and Tim Xie!
Schedule
Week | Date | Lecture | Assignments | Lecturer(s) |
---|---|---|---|---|
1 | Sep 23 | Intro + Background Review (slides) | Lecture Exercise Rockfall Homework 0 Math Review Pandas Numpy (due Oct 2) | Tim, Tejas |
2 | Sep 30 | Classical ML (slides) | Tejas | |
3 | Oct 7 | Deep Learning (slides) | Homework 1 Neural Networks Review Intro to Pytorch Word Embeddings | Tim |
4 | Oct 14 | CNNs & Object Detection (slides) | Homework 2 Model Zhu | Tejas |
5 | Oct 21 | No Lecture (social!!) | ||
6 | Oct 28 | NLP & Transformers 1 | Homework 3 | Chuyi, Sara |
7 | Nov 4 | Transformers 2 | ||
8 | Nov 11 | Self-supervised Learning | Final Project Proposal | Tejas |
9 | Nov 18 | RL | Luca | |
10 | Nov 25 | GANs, Diffusion | Final Project Checkpoint | Mehdi, Nemer |
11 | Dec 2 | Ethics | Final | |
12 | Dec 9 | No Lecture (final presentations) | Final Project Due |