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This introductory session will show you how R can be used to build predictive models.
This introductory session will show you how R can be used to build predictive models. Attendees will be able to participate in exercises using various R packages to predict NHL player points using publicly available datasets. No prior knowledge of R is required.
As sports business organizations prepare for the future of sports business, analytics has become an organizational imperative. To design for that future, organizations must develop a balance between their people, processes and foundational technology – finding technology partners that allow them to drive deeper insights & results. As we look to emerge from the pandemic, the amount of data will only proliferate further – as mobile ordering and contactless transactions become further embedded in the fan experience, providing new challenges for organizations looking to stay ahead of the curve.
This presentation will review the critical role of vision in sports performance and highlight use examples of analytics in measuring the relationship between vison and on-field sports performance in professional baseball. Finally, future and current uses of the merging of analytics, medicine, and computer software and hardware will be discussed.
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