Introduction to the Machine Learning over Text & Images - Autumn School by Eric Xing
author:
Eric Xing,
Carnegie Mellon University
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| Slides | |
| 0:00 | Machine Learning Autumn School 2006 |
| 0:48 | What is Machine Learning? |
| 1:27 | Rise of Machine Learning |
| 3:23 | Natural language processing and speech recognition |
| 4:34 | Object Recognition |
| 4:45 | Robotic Control I |
| 5:06 | Robotic Control II |
| 5:46 | Text Mining |
| 6:10 | Understanding Brain Activities |
| 6:38 | Bioinformatics |
| 7:07 | Evolution |
| 7:35 | A More Technical Definition of M.L. |
| 9:44 | The Challenge (1) |
| 10:57 | The Challenge (2) |
| 11:41 | Potential ML Advisors |
| 12:12 | Machine Learning Research |
| 12:38 | Major Technical Paradigms (1) |
| 13:19 | Major Technical Paradigms (2) |
| 13:37 | ML PhD Program |
| 14:11 | Machine Learning Electives |
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