Machine Learning and Data Science
Machine Learning and Data Science
Data science is an emerging field encapsulating interdisciplinary activities used to create data-centric products, applications or programs, that address specific scientific, socio-political, or business questions. It is making deep inroads in industry, government, health, and journalism. Data Science incorporates practices from a variety of fields in computer science: Machine Learning, Statistics, Databases, Visualization, Natural Language Processing, Systems, Algorithms, and others. The University of Maryland Computer Science Department, and other partner departments on campus, have world-class expertise in these areas.
Associated Faculty
Ashok Agrawala
Professor
Leilani Battle
Assistant Professor
Jordan Boyd-Graber
Associate Professor
Marine Carpuat
Associate Professor
Hector Corrada Bravo
Associate Professor
Hal Daumé III
Professor
Amol Deshpande
Professor
John Dickerson
Assistant Professor
Soheil Feizi
Assistant Professor
Tom Goldstein
Associate ProfessorPerotto Chair of Machine Learning
Mohammad Hajiaghayi
ProfessorJack and Rita G. Minker Professor
Furong Huang
Assistant Professor
Max Leiserson
Assistant Professor
Zhicheng Liu
Assistant Professor
Hanan Samet
ProfessorDistinguished University Professor
Abhinav Shrivastava
Assistant Professor
Xiaodi Wu
Assistant Professor
Ben Shneiderman
Professor EmeritusDistinguished University Professor
Marc Lichtman
Adjunct Assistant Professor
Leila De Floriani
Affiliate Professor
Naomi Feldman
Affiliate Associate Professor
Vanessa Frias-Martinez
Affiliate Assistant Professor
Jennifer Golbeck
Affiliate Professor
Naeemul Hassan
Affiliate Assistant Professor
Hernisa Kacorri
Affiliate Assistant Professor
Richard Marciano
Affiliate Professor
Louiqa Raschid
Affiliate Professor
Philip Resnik
Affiliate ProfessorProfessor, Department of Linguistics and Institute for Advanced Computer Studies