David Blei

Professor of Computer Science and Statistics
Columbia University

David Blei joined Columbia in Fall 2014 as a Professor of Computer Science and Statistics. His research involves probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference. He works on a variety of applications, including text, images, music, social networks, user behavior, and scientific data.

Professor Blei earned his Bachelor's degree in Computer Science and Mathematics from Brown University (1997) and his PhD in Computer Science from the University of California, Berkeley (2004). Before arriving to Columbia, he was an Associate Professor of Computer Science at Princeton University. He has received several awards for his research, including a Sloan Fellowship (2010), Office of Naval Research Young Investigator Award (2011), Presidential Early Career Award for Scientists and Engineers (2011), and Blavatnik Faculty Award (2013).

Machine Learning for Data Science and Analytics (edX)

EdX

Columbia University,ColumbiaX

Machine Learning for Data Science and Analytics (edX)

Statistics & Data Analysis Data Science

Dive into the fascinating world of Machine Learning with our edX course, tailored for both novices and experienced professionals seeking to enhance their Data Science and Analytics capabilities. This course unravels the principles behind machine learning algorithms and their pivotal role in various applications such as web search, ad placement, credit scoring, stock trading, and more.

Self Paced

Self-Paced

ML Machine Learning Data Analysis

Page 1