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.

Machine Learning and Data Science

Machine Learning and Data Science

Associated Faculty

Ashok Agrawala

Jordan Boyd-Graber

Marine Carpuat

Hal Daumé III

Amol Deshpande

John Dickerson

Soheil Feizi

Tom Goldstein

Mohammad Hajiaghayi

Furong Huang

Jia-Bin Huang

Ming Lin

Zhicheng Liu

Christopher Metzler

Rachel Rudinger

Hanan Samet

Abhinav Shrivastava

Mohammad Nayeem Teli

Xiaodi Wu

Tianyi Zhou

Ben Shneiderman

Leilani Battle

Yizheng Chen

Hector Corrada Bravo

Max Leiserson

Marc Lichtman

Leila De Floriani

Naomi Feldman

Vanessa Frias-Martinez

Jennifer Golbeck

Naeemul Hassan

Hernisa Kacorri

Richard Marciano

Louiqa Raschid

Philip Resnik

Jonas Geiping