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Closing keynote: Hilary Mason – Machine Learning for Web Data
Closing keynote: Hilary Mason — Machine Learning for Web Data
- In: Resources
- By:Guy Leech
- November 17, 2010
Web Directions USA 2010, Loews Atlanta Hotel, September 24 3.15pm.
- Presentation slides
- Session description
- About Hilary Mason
Presentation slides
Session description
Many of us create and work with data that lives on the web. This kind of data has similar characteristics that makes it possible to learn successful techniques and avoid ‘reinventing the wheel’ for analysis.
In this talk, I’ll give a brief history of the field with a focus on the fundamental math and algorithmic tools that we use to address these kinds of problems, then walk through several descriptive and predictive scenarios. We’ll also discuss the likely future evolution of this type of data and the active research problems that are currently fascinating.
About Hilary Mason
Hilary is the lead scientist at bit.ly, where she is finding sense in vast data sets. She is a former computer science professor with a background in machine learning and data mining, has published numerous academic papers, and regularly releases code on her personal site, hilarymason.com. She has discovered two new species, loves to bake cookies, and asks way too many questions.
Follow Hilary on Twitter: @hmason
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