CSCI4390-6390 Data Mining
This course focuses on fundamental algorithms and core concepts in data mining and machine learning. The emphasis is on leveraging geometric, algebraic and probabilistic viewpoints, as well as algorithmic implementation.
Class Hours: 10AM-11:50AM Mon/Thurs, Darrin 308
Instructor Office Hours: 12-1PM Mon/Thurs (Lally 209)
TAs (Office Hours):
Aitazaz Khan khana8@rpi.edu (Wed 12-1pm, Thur 1-2pm, AE118)
Syllabus: CSCI4390-6390 Syllabus
Campuswire: https://campuswire.com/c/G35C68FA7
Submitty: https://submitty.cs.rpi.edu/courses/f23/csci4390
Assignments
Assign2: CSCI4390-6390 Assign2, Due: 28th Sep
Assign1: CSCI4390-6390 Assign1, Due: 15th Sep
Class Schedule: Lectures
Tentative course schedule is given below. Lecture notes (in PDF) appear below, and the lecture videos ca n be accessed at the RPI's Mediasite Channel for CSCI4390.
| Date | Topic | Lectures |
|---|---|---|
| Aug 28 | Introduction & Data Matrix (Chapter 1) | lecture1 |
| Aug 31 | Data Matrix/Numeric Attributes (Chapters 1 & 2) | lecture2 |
| Sep 05 (Tue) | Numeric Attributes (Chapter 2) | lecture3 |
| Sep 07 | PCA (Chapter 7) | lecture4 |
| Sep 11 | PCA II and Discriminant Analysis (Chapters 7, 20) | lecture5 |
| Sep 14 | Discriminant Analysis II, Gradient Descent (Chapter 20) | lecture6 |
| Sep 18 | High Dimensional Data I (Chapter 6) | lecture7 |
| Sep 21 | High Dimensional Data II, Linear Regression (Chap 6, 7) | lecture8 |
| Sep 25 | Linear Regression II (Chapter 7) | |
| Sep 28 | Linear Regression III (Chapter 7) | |
| Oct 02 | Exam I | |
| Oct 05 | Support Vector Machines I (Chapter 21) | |
| Oct 09 | NO CLASS (Columbus Day) | |
| Oct 12 | Support Vector Machines II (Chapter 21) | |
| Oct 16 | Neural Networks I (Chapter 25) | |
| Oct 19 | Neural Networks II (Chap 25) | |
| Oct 23 | Deep Learning (Chapter 26) | |
| Oct 26 | Deep Learning II (Chap 25) | |
| Oct 30 | Classification Assessment (Chapter 22) | |
| Nov 02 | EXAM II | |
| Nov 06 | Representative-Based Clustering (Chapter 13) | |
| Nov 09 | Representative-Based Clustering | |
| Nov 13 | Density-based Clustering (Chapter 15) | |
| Nov 16 | Density-based Clustering II (Chapters 15) | |
| Nov 20 | Spectral Clustering (Chapters 16) | |
| Nov 23 | NO CLASS (Thanksgiving) | |
| Nov 27 | Spectral Clustering II (Chapter 16) | |
| Nov 30 | Clustering Validation (Chapters 17) | |
| Dec 04 | Wrapup | |
| Dec 07 | EXAM III |