Introduction to Machine Learning
Introduction to Machine Learning
Instructor: David Banks
July 14, 2023
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About WSC 2023
The 64th ISI World Statistics Congress 2023 is the leading event on Statistics & Data Science worldwide. It has biennially organised since 1887 by the International Statistical Institute (ISI).
About the Short Course: 1 Day Course
This course describes nonparametric regression, including the additive model and its generalizations, also the LASSO, and LARS. Then it proceeds to classification (SVMs, random forests, boosting). The Curse of Dimensionality is described in both contexts. Bagging and stacking are covered. There is some coverage of cluster analysis, and some text analytics. The emphasis is upon the strengths and weaknesses of the tools, and guidance on when a particular method should be used.
In-Person Event. Location Of Short Courses: University of Ottawa
Who is this course for?
People with some statistical background, but not experts in this area.
Level Of Instruction: Intermediate
Learning Outcomes
- Data science overview
- Key ideas in nonparametric regression
- Methods for model assessment and quantified prediction
- Non -parametric regression methods
- Recent advances in variable selection methodology
- Classification techniques: SVMs and Random Forests
- The power of ensembles
Course Material
Lectures delivered from pdf slides that are shared with attendees.
Delivery Structure
Rather dull lecture format, I'm afraid. But I do try to interact with the audience.
Knowledge Assumed
Multiple linear regression, basic probability.
About the instructor: David Banks
David Banks obtained an M.S. in Applied Mathematics from Virginia Tech in 1982, followed by a Ph.D. in Statistics in 1984. He won an NSF Postdoctoral Research Fellowship in the Mathematical Sciences, which he took at Berkeley, working with David Blackwell. In 1986 he was a visiting assistant lecturer at the University of Cambridge, and then joined the Department of Statistics at Carnegie Mellon in 1987. In 1997 he went to the National Institute of Standards and Technology, then served as chief statistician of the U.S. Department of Transportation, and finally joined the U.S. Food and Drug Administration in 2002. In 2003, he returned to academics at Duke University.
Affiliations: Dept. of Statistical Science, Duke University
To register for Introduction to Machine Learning or to submit an abstract you must first login to your account. If you don't have an account please register.