{{ !articles[0].partner.isSponsoringArticle ? "Platinum" : "Portal" }} Partner
architects,bigdata,theory,tools & methods,big data,prediction

Predicting Outcomes of Tennis Matches with Dynamic Bayesian Networks

For the purpose of building prediction models in tennis markets, I've developed a Bayesian inference engine in Scala. One of tutorials I wrote on this tool is dedicated to predicting outcomes of tennis matches with Dynamic Bayesian Networks and Expectation Maximization techniques.

Bayes-Scala Project Home Page

Getting Started - Learning parameters with Expectation Maximisation in Unrolled Dynamic Bayesian Networks from incomplete data

Currently I'm evaluating this prediction model on a real data set of tennis matches for last 5 years and I will publish prediction results later on.

Published at DZone with permission of {{ articles[0].authors[0].realName }}, DZone MVB. (source)

Opinions expressed by DZone contributors are their own.

{{ tag }}, {{tag}},

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}
{{ parent.authors[0].realName || parent.author}}

{{ parent.authors[0].tagline || parent.tagline }}

{{ parent.views }} ViewsClicks