Austin Rochford - Home

Austin Rochford Math, Data, Software. An Improved Analysis of NBA Foul Calls with Python. Posted on February 4, 2018. Last April, I wrote a post. That used Bayesian item-response theory models to analyze NBA foul call data. Last November, I spoke. About a greatly improved version of these models at PyData NYC. This post is a write-up of the models from that talk. Since late in the 2014-2015 season, the NBA has issued last two minute reports. We download the data locally to be kind to GitHub. LABELSIZE.

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This web page austinrochford.com was first documented on April 16, 2013. It was updated on the date of March 15, 2014. This domain will expire on the date of April 16, 2015. It is now five hundred and eighty-five weeks, sixteen days, twenty-three hours, and seven minutes young.
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jaspervdj - Home

I am Jasper Van der Jeugt. I was born in 1990, and spent most of my youth in Lokeren and Ghent, Belgium. I currently live in Zürich and write Haskell. Code for companies such as Fugue. Before that, I studied Computer Science at Ghent University. Did I tell you I like to make stuff? I love to make stuff! That is why I am somewhat active in open source development. Apart from that, I have a very broad taste in music and movies, and I also enjoy skateboarding and taking pictures.

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CONTACTS

AUSTIN ROCHFORD

310 1/2 W WILLIAM ST

CHAMPAIGN, IL, 61820

US

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Austin Rochford - Home

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Austin Rochford Math, Data, Software. An Improved Analysis of NBA Foul Calls with Python. Posted on February 4, 2018. Last April, I wrote a post. That used Bayesian item-response theory models to analyze NBA foul call data. Last November, I spoke. About a greatly improved version of these models at PyData NYC. This post is a write-up of the models from that talk. Since late in the 2014-2015 season, the NBA has issued last two minute reports. We download the data locally to be kind to GitHub. LABELSIZE.

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This web page has the following on the homepage, "Austin Rochford Math, Data, Software." Our analyzers viewed that the web site also said " An Improved Analysis of NBA Foul Calls with Python." The Website also said " Posted on February 4, 2018. Last April, I wrote a post. That used Bayesian item-response theory models to analyze NBA foul call data. Last November, I spoke. About a greatly improved version of these models at PyData NYC. This post is a write-up of the models from that talk. Since late in the 2014-2015 season, the NBA has issued last two minute reports. We download the data locally to be kind to GitHub."

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