Speaker Series: Jake Vanderplas on Statistics for Hackers
Details
Speaker
Jake Vanderplas (@jakevdp (https://twitter.com/jakevdp))
Director of Research at the eScience Institute, University of Washington and author of Python Data Science Handbook (http://shop.oreilly.com/product/0636920034919.do)
Title
Statistics for Hackers
Abstract
The field of statistics has a reputation for being difficult to crack: it revolves around a seemingly endless jargon of distributions, test statistics, confidence intervals, p-values, and more, with each concept subject to its own subtle assumptions. But it doesn't have to be this way: today we have access to computers that Neyman and Pearson could only dream of, and many of the conceptual challenges in the field can be overcome through judicious use of these CPU cycles. In this talk I'll discuss how you can use your coding skills to "hack statistics" – to replace some of the theory and jargon with intuitive computational approaches such as sampling, shuffling, cross-validation, and Bayesian methods – and show that with a grasp of just a few fundamental concepts, if you can write a for-loop you can do statistical analysis.
Public works
https://jakevdp.github.io/
https://github.com/jakevdp/mpld3
https://github.com/jakevdp/sklearn_pycon2015