Cornell Courses
ORIE 4740:
Statistical Data Mining
ORIE 4741:
Learning with Big Messy Data
CS 4758/6758:
Robot Learning
CS 4780/5780:
Introduction to Machine Learning
STSCI 4780:
Bayesian Data Analysis: Principles and Practice
CS 4782/6782/BTRY 4790/6790:
Probabilistic Graphical Models
CS 4783/5783:
Mathematical Foundations of Machine Learning
CS 4786/5786:
Machine Learning for Data Science
CS 4787:
Principles of Large-Scale Machine Learning
CS 4789/5789:
Introduction of Reinforcement Learning
ECE 5630:
Information theory for Data Transmission, Secure Communication, and Machine Learning
ECE 5960:
Advanced Topics in Electrical and Computer Engineering.
ORIE 6127:
Computational Issues in Large Scale Data-Driven Models
INFO 6150/CS 6788:
Advanced Topic Modeling
BTRY 6520:
Computationally Intensive Statistical Inference
ORIE 6740:
Statistical Learning Theory for Data Mining
ORIE 6741:
Bayesian Machine Learning
ORIE 6750:
Optimal Learning
CS 6756:
Advanced Topics in Robot Learning: 3D Perception
CS 6780:
Advanced Machine Learning
ORIE 6780:
Bayesian Statistics and Data Analysis
CS 6783:
Machine Learning Theory
CS 6784:
Advanced Topics in Machine Learning
CS 6787:
Advanced Machine Learning Systems
CS 6789:
Foundations of Reinforcement Learning
SysEn/ChemE 6880:
Industrial Big Data Analytics & Machine Learning
SysEn 6888:
Deep Learning
ECE 6970:
Statistical Distances for Modern Machine Learning
STSCI 6940:
Selection, Aggregation and Dimension Reduction in Large-scale Problems
CS 7790:
Artificial Intelligence Seminar
MATH 7740:
Statistical Learning Theory
CS 7792:
Counterfactual Machine Learning
CS 7794:
Natural Language Processing Seminar
Extracurricular:
Machine Learning Discussion Group (MLDG)
Extracurricular:
Statistics Seminar