Presentation List

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.

1 Boosting

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.

                          Quiz-1 results:

  UniqueIDs Scores

                                                                                           HIJ771    95

 OPQ111 100

EFG710 88

LMN158 90

                   STU487 Not Attended

KLM110 100

ABC270 100

XYZ557 100

QWX139 90

CDE558 100

VWX444 100

OPR489 88