Welcome to NMEP! This simple hub will give you access to the schedules, slides, syllabus, research papers, and homework.
Homeworks will be pushed weekly on Mondays after lecture. Please pull new changes and complete the assignments by the following Monday (due 7:59 pm). We will upload a Gradescope assignment for each homework by the following monday. Please export your files as a pdf and submit to the corresponding assignment.
We will upload the slides for each lecture after the lecture, along with the homework.
Date | Lecture Slides | Homework | Topics | Lecturer |
---|---|---|---|---|
02/07/2022 | Intro to ML | NumPy and Pandas, SelfGrade | Overview of ML | Everyone |
02/14/2022 | Math Foundations | Math and Gaussian Orbits | Math you'll need to understand ML | Everyone |
02/23/2022 | Data | Data Cleaning, Processing, Visualization, and PCA | Data Cleaning, Feature Engineering | Val |
02/28/2022 | Classical ML | Decision Trees, SVM Kernels | SVM, Decision Trees, Random Forests | Yash |
03/07/2022 | Neural Network Basics | PyTorch | Backpropagation | Val, Cade |
03/15/2022 | Project Release and Conv. Nets Part 1 | Convolutions, Autoencoder | Computer Vision | Val |
03/21/2022 | Project QnA, Office Hours | (Hybrid instruction) | Everyone | |
03/29/2022 | Conv. Nets Part 2 | Computer Vision | Val, Tyler | |
04/04/2022 | NLP, LSTM and RNNs | Natural Language, Sequence | Val, John | |
04/12/2022 | Transformers, AI Ethics | Transformers, Ethics | Tej, Rohan, Aryan | |
04/20/2022 | Unsupervised Learning, GANs | Arjun, Tyler | ||
04/25/2022 | Reinforcement Learning | John, Ashwin, Kiran | ||
04/26/2022 | Project Presentations (BEARS) | YAY |
Date | Research Paper | Presenter(s) | Your Slides |
---|---|---|---|
02/14/2022 | How To Read A Paper | Annie Inga | Here |
02/21/2022 | SVM-KNN | Verona Mason | Here |
02/28/2022 | Deep Double Descent | Rishi Vedant | Here |
03/07/2022 | Gap day | ||
03/15/2022 | Gap day | ||
03/21/2022 | Break | ||
03/29/2022 | Deep Residual Learning | Ayushi Diana | Here |
04/04/2022 | Gap day | ||
04/12/2022 | Attention is Key | Evan Atahan | Here |
04/20/2022 | Unsupervised Translation of Programming Languages | Shivansh Jada | Here |
04/25/2022 | RL with Contrastive Predictive Coding | Ryan Estella | Here |
We'll add a table with your final projects and slides here once you're done!