avrim blum machine learning
TOPICS IN MACHINE LEARNING THEORY Avrim Blum Wed/Fri 11:00-12:15, SC 1109 (Office hours: Wed 4:00-5:00, SC 3212) My new homepage is http://www.ttic.edu/blum. See also our colloquium, distinguished lectures, and young researcher seminar. This involves designing models that capture fundamental tradeoffs, as well as producing new analyzable algorithms. We are a bit like a self-contained, free-standing department of machine learning, algorithms, AI, and data science. Tom Mitchell: Machine Learning (McGraw Hill, 1997) Kearns and Vazirani: An Introduction to Computational Learning Theory(MIT Press, 1994) The Machine Learning Journal : COLT '99, COLT 2000: ICML '99, ICML 2000: Other Resources. Avrim Blum Professor of Computer Science School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213-3891. On August 1, 2017 I joined TTI-Chicago as its new CAO. 15-854 Machine Learning Theory (Carnegie Mellon, Spring 1998, instructor: Avrim Blum) Click here for more Textbooks, Journals, and Conferences. We have tenure-track faculty (currently 12), limited-term research faculty (currently 10) and PhD students (currently 43). Course description: This course will cover some of the basic theory underlying machine learning and the process of generalizing from data. The goals of machine learning theory are to provide a mathematical understanding of the issues involved in getting programs to learn from experience. TTIC 31250 - An Introduction to the Theory of Machine Learning (Spring 2020) Avrim Blum Mon/Wed 3:00-4:20pm, Online (zoom link, password 123321) Office hours: email me and we can arrange a time to talk. My new email address is [firstname] at ttic.edu.
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