Christian R. Shelton, Professor
Current Course (Fall 2021)
- CS 224: Fundamentals of Machine Learning
Past Courses:
- CS 14 (Introduction to Data Structures and Algorithms): Fall 2014
- CS 170 (Introduction to Artificial Intelligence): Winter 2012, Winter 2011, Fall 2007, Winter 2006
- CS 171 (Introduction to Machine Learning and Data Mining): Fall 2020, Fall 2019, Fall 2018, Fall 2017, Spring 2017, Spring 2016
- CS 179M (Project in Computer Science: AI): Summer 2020, Winter 2007, Fall 2005, Spring 2005
- CS 181 (Principles of Programming Languages): Winter 2019, Fall 2013, Spring 2012, Spring 2010, Winter 2009, Winter 2008
- CS 205 (Artificial Intelligence): Spring 2011, Spring 2010 Fall 2006, Winter 2005, Spring 2004
- CS 224 (Fundamentals of Machine Learning): Winter 2021
- CS 227 (Probabilistic Models for Artificial Intelligence): Winter 2020, Winter 2018, Fall 2015, Winter 2014, Fall 2011, Fall 2009, Spring 2008, Spring 2006
- CS 229 (Machine Learning): Spring 2021, Spring 2020, Spring 2019, Fall 2016, Fall 2014, Fall 2010, Spring 2009
- CS 260/261 (Seminar in Computer Science): Spring 2019 (deep learning), Spring 2018 (dynamic processes), Spring 2017 (deep learning), Winter 2016 (dynamic processes), Winter 2015 (point processes), Spring 2012 (dynamic processes) Spring 2007 (supervised learning), Fall 2004 (machine learning)
- CS 287 (Colloquium in Computer Science): 2013-2014
- CS 290: Seminar on Advanced C++
