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
- Lin. Regr. Code
- 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
- Quiz Solutions
- 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