Tom Mitchell

E. Fredkin University Professor
Machine Learning Department
School of Computer Science
Carnegie Mellon University

 Tom.Mitchell@cmu.edu,  412 268 2611, GHC 8211  Resume, A personal interview 
Assistant: Sharon Cavlovich, 412 268-5196

What is Machine Learning, and where is it headed?

Video interview (5 min)

• When Computers Read, reprise of presentation at the World Economic Forum, Davos, Switzerland, January 2012 (5 minutes).
• Mining Our Reality, the emerging trend toward mining personal data, in Science, December 2009.
• Never Ending Language Learning, video lecture on our computer that is learning to read the web, Brown Univ., Feb. 2014.
• Neural representations of language meaning, video lecture on how the human brain represents word meanings, Berkeley, March 2014.
• The Discipline of Machine Learning, my perspective on this research field, July 2006

Current Research

• Can computers learn to read the web?
  • See our never-ending language learning (NELL) research
  
  
• How does the human brain represent word meanings?
• machine learning to analyze human brain activity (fMRI)
  

Online courses:

• Machine Learning course (includes video lectures, online slides, 2011)
• Semisupervised learning (includes video lecture, online slides, 2006)

Textbook: Machine Learning

• Machine Learning, Tom Mitchell, McGraw Hill, 1997.
• New chapters (available for free download)

Publications

• Selected publications

Colleagues

• Current and former students and visiting researchers
  

Courses

• Machine Learning, 10-601, Fall 2012
• Machine Learning, 10-601, Fall 2011
• Machine Learning, 10-701, Spring 2011
• Advanced Statistical NLP: Read the Web , Fall 2009

Reference

• Journals providing free online access to high-quality publications:
  • Journal of Machine Learning Research
  • Journal of AI Research
  • Public Library of Science, PLoS One
• Website providing free online access to lectures on machine learning, computer science, and other fields