discoverdatascience.com
Data Science Education - Discover Data Science
https://discoverdatascience.com/data-science-education
Skip to main content. Data, Data, Data! MOOCS - The Data Science Freeway. Online Course Highlight #1 Data Analysis. Online Course Highlight #2 Introduction to Data Science. Data Science Bachelor’s Programs. Data Science Master’s Programs. Data Science Certificate Programs. Data Science in the News. Data Science in the News: Best New Jobs in America. Data Science in the News: Careers of the Future. Data Science in the News: The Sexiest Job of the 21st Century. Lead Data Science Companies. With this partic...
l2r.cs.uiuc.edu
Dan Roth - Talks
http://l2r.cs.uiuc.edu/talks.html
On-Line Machine Learning Course. TSD'15, The 18th International Conference on Text, Speech and Dialogue, Plzen, Czech Republic. A keynote talk on Learning and Inference for Natural Language Understanding. NeSy'15, The 10th International Workshop on Neural-Symbolic Learning and Reasoning, an IJCAI workshop. Buenos Aires, Argentina. A keynote talk on Natural Language Understanding with Common Sense Reasoning. Inferning: Interactions between Learning and Inference, an ICML'13 workshop, Atlanta, GA, A keynot...
l2r.cs.uiuc.edu
Dan Roth - Tutorials
http://l2r.cs.uiuc.edu/tutorials.html
On-Line Machine Learning Course. A tutorial on Learning and Inference in Structured Prediction Models. Given by Dan Roth. A tutorial on Wikification and Entity Linking ( pdf. Given by Dan Roth. Heng Ji, Taylor Cassidy and Ming-Wei Chang. June 2014.). A tutorial on Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming ( pptx package. Key recent paper: M. Chang, L. Ratinov and D. Roth, Structured Learning with Constrained Conditional Models. Given together with Jeffrey...
l2r.cs.uiuc.edu
Dan Roth - Courses
http://l2r.cs.uiuc.edu/courses.html
On-Line Machine Learning Course. CS546: Machine Learning and Natural Language. Fall 2015; on-line lectures. CS546: Machine Learning and Natural Language. CS546: Machine Learning and Natural Language. CS591: Seminar on Learning and Knowledge. CS598 DNR: Machine Learning and Natural Language. CS173: Discrete Mathematical Structures. CS497: Computational Theories of Learning and Reasoning. CS397: Computational Theories of Learning and Reasoning.
l2r.cs.illinois.edu
Dan Roth - Talks
http://l2r.cs.illinois.edu/talks.html
On-Line Machine Learning Course. TSD'15, The 18th International Conference on Text, Speech and Dialogue, Plzen, Czech Republic. A keynote talk on Learning and Inference for Natural Language Understanding. NeSy'15, The 10th International Workshop on Neural-Symbolic Learning and Reasoning, an IJCAI workshop. Buenos Aires, Argentina. A keynote talk on Natural Language Understanding with Common Sense Reasoning. Inferning: Interactions between Learning and Inference, an ICML'13 workshop, Atlanta, GA, A keynot...
l2r.cs.illinois.edu
Dan Roth - Courses
http://l2r.cs.illinois.edu/courses.html
On-Line Machine Learning Course. CS546: Machine Learning and Natural Language. Fall 2015; on-line lectures. CS546: Machine Learning and Natural Language. CS546: Machine Learning and Natural Language. CS591: Seminar on Learning and Knowledge. CS598 DNR: Machine Learning and Natural Language. CS173: Discrete Mathematical Structures. CS497: Computational Theories of Learning and Reasoning. CS397: Computational Theories of Learning and Reasoning.
l2r.cs.illinois.edu
Dan Roth - Tutorials
http://l2r.cs.illinois.edu/tutorials.html
On-Line Machine Learning Course. A tutorial on Learning and Inference in Structured Prediction Models. Given by Dan Roth. A tutorial on Wikification and Entity Linking ( pdf. Given by Dan Roth. Heng Ji, Taylor Cassidy and Ming-Wei Chang. June 2014.). A tutorial on Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming ( pptx package. Key recent paper: M. Chang, L. Ratinov and D. Roth, Structured Learning with Constrained Conditional Models. Given together with Jeffrey...
l2r.cs.uiuc.edu
Dan Roth - Bio
http://l2r.cs.uiuc.edu/bio.html
On-Line Machine Learning Course. Dan Roth is a Founder Professor of Engineering at the University of Illinois at Urbana-Champaign. He is a Professor in the Department of Computer Science and the Beckman Institute and holds faculty positions also at the Statistics, Linguistics and ECE Departments and at the graduate School of Library and Information Science.
