andymiller github.io

Andrew Miller

Andrew Millers personal webpage -- machine learning and statistics research

OVERVIEW

The site andymiller.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled zero pages within the web page andymiller.github.io and found one website referencing andymiller.github.io. We have unearthed one public web sites acquired by andymiller.github.io.
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ANDYMILLER.GITHUB.IO TRAFFIC

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LINKS TO ANDYMILLER.GITHUB.IO

XY Research - Advanced Sports Analytics

We study problems at the intersection of Sports Analytics and current research in Statistics, Machine Learning, and Visualization. Using innovative methods, we get novel inferences from big data sets, such as SportVu NBA optical tracking data. Expected Possession Value, Counterpoints and many more. Tools and theory for intelligent analysis of big data. Play detection, ball movement, resource allocation. Our projects aim to demonstrate how new forms of sports intelligence.

WHAT DOES ANDYMILLER.GITHUB.IO LOOK LIKE?

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ANDYMILLER.GITHUB.IO SERVER

We found that the main root page on andymiller.github.io took seventy-eight milliseconds to come up. Our web crawlers could not observe a SSL certificate, so in conclusion our crawlers consider this site not secure.
Load time
0.078 sec
SSL
NOT SECURE
IP
151.101.41.147

FAVICON

SERVER SOFTWARE

We discovered that andymiller.github.io is weilding the GitHub.com operating system.

SITE TITLE

Andrew Miller

DESCRIPTION

Andrew Millers personal webpage -- machine learning and statistics research

PARSED CONTENT

The site had the following in the web page, "PhD Candidate in Computer Science." I observed that the web site stated " I study statistical machine learning, focusing on spatiotemporal models and scalable inference methods." They also stated " I like to be application-driven; my applied work ranges from problems in astronomy to healthcare to sports analytics. I am a member of the Harvard Intelligent Probabilistic Systems. I also work with Luke Bornn." The meta header had research as the first keyword. This keyword was followed by machine learning and bayesian statistics which isn't as important as research.

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