CMPS 422-499: Machine Learning
5 minutes Theory & 5 Minutes Code Application
You will only use .PPT slides; all theory and code and results will be ready on the slides.
2 Gaussian Mixture Models
3 K-means Clustering
4 K-Nearest Neighbors
5 Outlier Analysis
6 Kernels & Support Vector Machines
7 Multi-Layer Perceptron & Backpropagation
8 Convolutional Neural Networks
9 Quantized and Binarized Neural Networks
10 Attention Mechanisms
11 Recommender Systems
12 Reinforcement Learning
Each presenter should send his/her .ppt slides at 09.00 a.m. (1 hour before the class) of the presentation day. No exceptions. I will prepare my PC for the slides and bring it to the class for the presentation.
You should prepare a fast theory including a brief introduction to the topic. And demonstrate a code to solve a corresponding problem (code snippet, results, plots, etc. all is on the slides)
Presentations will start on 1st November 2023 Wednesday. All groups should be ready to present; so please prepare your slides before 1st November 2023 Wednesday. I will announce who will present 1-2 day before the presentation.