CSCI 1420 : Machine Learning

Welcome to CSCI1420!

How can artificial systems learn from examples, and discover information buried in massive datasets? We explore the theory and practice of statistical machine learning, focusing on computational methods for supervised and unsupervised data analysis. Specific topics include empirical risk minimization, probably approximately correct learning, maximum likelihood parameter estimation, kernel methods, neural networks, the expectation maximization algorithm, and principal component analysis.


Machine Learning in the News

Mental Health

Being a student can be very stressful. If you feel you are under too much pressure or there are psychological issues that are keepingyou from performing well at Brown, we encourage you to contact Brown's Counseling and Psychological Services (CAPS.). They provide confidential counseling and can provide notes supporting accommodations for health reasons.