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Lectures and Assignments

Introduction to Machine Learning

Sep 01
Abstract View to Machine Learning
Link to Presentation
Homework Reading Assignment 1
Link to HRA 1
Sep 08
Learning Problem
Link to Presentation
Sep 13
Linear Models in Machine Learning
Link to Presentation
Homework Theory+Coding Assignment 1
Link to HTCA 1
Link to Perceptron Code
Sep 14
An Interesting Linear Model: Nearest Neighbors
Link to Presentation
Lin. Regr. Code
HRA 2
Sep 19
Probability Refresher
Link to Presentation
Link to Nearest Neighbors Code
Sep 22
Optimization and Regularization
Link to Presentation
Link to HRA 3
Sep 27
Optimization and Regularization
Link to Presentation
October 3
Homework Theory+Coding Assignment 2
Link to Assignment
October 4
Optimization and Regularization
Link to Presentation
October 6
Towards Neural Networks: From Softmax, Logistic Regression to Multilayer Perceptrons
Link to Presentation
Gradient Checking
October 11
Invited Talk from Divy Thakkar (Google Research)
Link to Talk
Multilayer Perceptrons
Link to Presentation
October 13
Project Proposal Presentations :Link to SpreadSheet
October 14
Homework Reading Assignment
Link to Homework Reading Assignment
October 18
Multilayer Perceptrons
Link to Recording
October 20
Backpropagation and Convolutional Neural Network
Link to Presentation
Link to Recording
October 25
Convolutional Neural Network
Link to Presentation
October 27
Mid-term Prep Quiz
Quiz
Quiz Solutions
Link to Mid-Term Review and Readings
October 28
MID-TERM EXAM
Link to Mid-term Exam
November 1
Recurrent Neural Networks and BPTT
Link to Presentation
November 3
Autoencoders and T-SNE
Link to Presentation
Link to T-SNE
November 8
Autoencoders and T-SNE
Link to Presentation
Link to T-SNE
November 11
Homework Reading Assignment 5
Link to HRA 5
November 15
Support Vector Machines
Link to Presentation
November 22
Support Vector Machines
Link to Presentation
November 29
Dual form of Support Vector Machines
Link to Presentation
December 06
Decision Trees
Link to Presentation
December 13
Interpretable Machine Learning By Kaushik Roy (AI Institute, South Carolina)
Link to Presentation