Date | Topics | Readings |
---|---|---|
Aug 26: Lecture 1 |
Introduction |
Chapter 1 |
Sept 2: Lecture 2 |
Data |
Chapter 2 |
Sept 9: Lecture 3 |
Dimensionality Reduction; Principal Component Analysis Assignment 1 |
Project Guidelines Project Paper Guidelines |
Sept 16: Lecture 4 |
Classification |
Chapter 4 |
Sept 23: Lecture 5 |
Assignment 1 due! Classification (part 2) |
|
Sept 30: Lecture 6 |
Classification (continued) Assignment 2 |
Chapter 5 |
Oct 7: Lecture 7 |
Midterm Exam |
Chapter 8 |
Oct 14: NO CLASS | ||
Oct 21: Lecture 8 |
Assignment 2 due! Project Proposal due! Classification (continued) |
|
Oct 28: Lecture 9 |
Classification (continued) |
|
Nov 4: Lecture 10 |
Clustering |
Paper on Base-Rate Fallacy |
Nov 11: Lecture 11 |
Association Rules Assignment 3 |
Chapter 6 |
Nov 18: Lecture 12 |
Final Exam |
|
Nov 25: Lecture 13 |
Association Rules (continuted) Assignment 3 due! |
|
Dec 2: Lecture 14 | Project presentations: Fabian Francis Saloni Desai Warren Connell Sheldon Gonsalves Mahmoud Hammad Habib Karbasian Onkar Kurkute Roberto Levy Serena Mei Prasad Nair Suyog Parajuli Ashutosh Pardeshi Bahman Pedrood Bill Sentlinger Shweta Sukumaran Vaibhav Tyagi |
|
Dec 16: 7:30-10:15pm | Project report due Project presentations: Erhan Uyar Prakruthi Karuna Jing Wu Saif Ahmed Raghav Mehta Akshay Mehta Jeronymo Carvalho Ankitha Prabhu Jayanthy Nagatajan Anirudh Nirmal Rajanala Qingzhe Li Olu Adegbehingbe Aisha Hunte Jared Peck Jatin Mistry Rahul Goswami Kevin Arvai Matt Hovis Scott Giles |