15.097 Prediction: Machine Learning and Statistics (MIT)

MIT OpenCourseWare: New Courses 2013-03-28

Summary:

Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects. Email this Article Add to Facebook Add to Twitter Add to digg Add to Google

Link:

http://www.pheedcontent.com/click.phdo?i=841ff1c54918ac3a86a6b91a930c80f6

From feeds:

#edutech ยป MIT OpenCourseWare: New Courses

Tags:

statistics data mining algorithms prediction machine learning statistical learning theory bayesian analysis top 10 algorithms support vector machines boosting

Authors:

Rudin, Cynthia

Copyright info:

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Date tagged:

03/28/2013, 16:18

Date published:

01/30/2013, 01:24