Computers increasingly play a central role in sports. Applying machine learning (ML) to all the data generated means you have new ways to understand the outcomes of sporting events. This project was to design and development event prediction software which utilises the latest advances in distributed computing.
While the field is developing quickly, ML techniques are a natural fit for sporting events because they have:
Other events with these traits happen all around us all time too: scientific research, financial investments, insurance assessments and political elections, among many others. Apply proven machine learning techniques and they can all be understood and predicted at an unprecedented level.
With our in-house ML expertise, Hunted Hive developed a platform codenamed SEMLAP (Sport Event Machine Learning Analytics Prediction) to give you those predictions.
Critical patterns in the inputs and results of these events are there to be found, but they are subtle and concealed in vast datasets. Only advanced machine learning analysis can detect them among the statistical noise.
SEMLAP can find these “unknown factors” to give you a secret edge. Do the traditional odds match the actual probability of an event occurring? If not, you may know something everyone else doesn’t. It’s a game changer.
In developing SEMLAP, Hunted Hive tested all components on real-world events. We:
A event prediction software like no other - Roger Chappel, Data ScientistView Website