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CS446 Machine Learning

Table of Contents:

• Course Information
• Pre-requisites
• Recommended Text
• Instructors
• Assignments
• Announcement

Course Information:

The goal of Machine Learning is to build computer systems that can adapt and learn from data. In this course we will cover three main areas:

1. Discriminative models
2. Generative models
3. Reinforcement learning models

In particular we will cover the following:

• Linear Regression
• Logistic Regression
• Support Vector Machines
• Deep Nets
• Structured Methods
• Learning Theory
• kMeans
• Gaussian Mixtures
• Expectation Maximization
• Markov Decision Processes
• Q-Learning

Pre-requisites:

Probability, Linear Algebra, and proficiency in Python.

Recommended Text:

1. Machine Learning: A Probabilistic Perspective by Kevin Murphy
2. Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
3. Pattern Recognition and Machine Learning by Christopher Bishop
4. Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman

Instructors:

• Alexander Schwing, Website [Link]
• Matus Telgarsky, Website [Link]

Assignments

• Assignment 1: Introduction + Python — Design by Colin, Review by Yucheng
• Assignment 2: Linear Regression — Design by Raymond, Review by Jyoti
• Assignment 3: Binary Classification — Design by Youjie, Review by Jyoti
• Assignment 4: Support Vector Machine — Design by Raymond, Review by Ishan
• Assignment 5: Multiclass Classification — Design by Yucheng, Review by Safa
• Assignment 6: Deep Neural Networks — Design by Safa, Review by Yuan-Ting
• Assignment 7: Structured Prediction — Design by Colin, Review by Yucheng
• Assignment 8: k-Means — Design by Jyoti, Review by Youjie
• Assignment 9: Gaussian Mixture Models — Design by Ishan, Review by Colin
• Assignment 10: Variational Autoencoder — Design by Yuan-Ting, Review by Raymond
• Assignment 11: Generative Adverserial Network — Design by Ishan, Review by Yuan-Ting
• Assignment 12: Q-learning — Design by Safa, Review by Youjie

Announcement:

All copyrights reserved © CS446 Instructors & TAs

• Raymond Yeh, Website [Link]
• Colin Graber
• Safa Messaoud
• Yuan Ting Hu
• Ishan Deshpande
• Jyoti Aneja
• Youjie Li
• Yucheng Chen