Framing Big Data, part 1 of 2By
If you have two sets of researchers who are telling you contradictory things, and they have their own data sets to support it; how do you tell which one is believable and which one is junk. In Numbersense, what I try to do is to give people, as you say, a framework to start thinking about how you would interpret all these things out there.
…says Kaiser Fung, author of a new book, Numbersense a previous book, Numbers Rule Your World: The Hidden Influence of Probabilities and Statistics on Everything You Do and the popular blog, Junk Charts. Kaiser Fung is a professional statistician with over a decade of experience applying statistical methods to marketing and advertising businesses. He holds an MBA from Harvard Business School, in addition to degrees from Princeton and Cambridge Universities. He is Vice President of Business Intelligence and Analytics at Vimeo, a high-quality video hosting platform for creative people. He previously worked at Sirius XM Radio, American Express, [X+1], Exodus Communications, and Sonus Networks. He is also an adjunct professor at New York University teaching practical statistics.
This is the first of two podcasts with Kaiser. The second one will post next week.
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