Interview with Tom Mitchell
interviewer:
Davor Orlič,
Centre for knowledge transfer in IT, Jožef Stefan Institute
interviewee: Tom Mitchell, Carnegie Mellon University
interviewee: Tom Mitchell, Carnegie Mellon University
Description
Tom Mitchell is the first Chair of Department of the first Machine Learning Department in the World, based at Carnegie Mellon. The Videolectures.Net team spoke to him in Pittsburgh at CMU where we discussed about how he started the department, what was the response of the broader community and its past, present and future. "The university said you can only have a department if you have a discipline that is going to be here in one hundred years otherwise you can not have a department."
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you have the same name as me... lmao!
Dr. Mitchell, I wonder if you are the person who appeared on 60 Minutes this evening (Sunday, Jan. 4) talking about work on thought identification. I'm very interested in this subject, as I'm a psychologist and am frequently in the position of trying to determine if someone is being truthful with me.
Thank you,
Judy Okawa
That’s wonderful!
I am an undergraduate student in China; I love this area very much. Indeed, my major is computer software. Machine Learning is a complex theory, like psychology. It not only includes AI algorithm, but also contain theory of brain, neurology, recognizing technique, even psychology. However, the direction in machine learning has been misleading, at least in China. Too many researchers emphasize on comprehension of human language or literature which may extreme hard to make an accurate data. Maybe we should put our attention down to those simple communications, like learning process on birds or cold blood animal. A highly developed science always comes from simple. To directly study human’s complex communicational skill is too fast for us. No one can build two-storey house without the first floor.
I am a beginner for ML. I didnt know it existed before I found out that my problem could only be solved using statistical and learning mechanism.
I found what is called Machine Learning in the internet. Thanks God! I was relieved. But I had this question all the time. The area looks very challenging and narrow. Am I alone? Or are thre some people around the world who can direct me somewhere?...I think this interview helps a lot. Thank you Michell.