Marina Meila
CURRENT RESEARCH PAPERS SOFTWARE STUDENTS CLASSES CONTACT

REGULAR OFFERINGS

STAT 391 Probability and Statistics for Computer Science

STAT 535 Foundations of Machine Learning

STAT 538 Advanced Machine Learning

STAT 539 Machine Learning/Big Data Project

ONE TIME OFFERINGS and old classes

STAT 535 Statistical Learning: Modeling, Prediction and Computing (Fall 2011) Part I: Graphical probability models and unsupervised learning (formerly Statistical Computing)

STAT 538 Statistical Learning: Modeling, Prediction and Computing (Winter 2010) Part II: Supervised Learning and Optimization (formerly Statistical Computing)

STAT 593C/EE 546 Sparse representations: Theory, Algorithms and Applications (with Maryam Fazel ), Spring 2010

STAT 591/EE 596 Modern methods of machine learning: multiway classification, preferences, intransitivity (with Jeff Bilmes), Autumn 2006

STAT 593 B Probabilistic reasoning with graphical models (with Jeff Bilmes), Spring 2005

STAT 592 B/CSE 590 MM Classic methods of Machine Learning (with Alejandro Murua), Winter 2004

STAT 592 C Winter 2002 Convex Analysis Methods in Statistical Inference (with Jeff Bilmes and Thomas Richardson)

STAT 593 C Information Theory, Statistics and Machine Learning Spring 2001 (with Jeff Bilmes)

STAT 534 Statistical computing Basic data structures and algorithms in C (2004)