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株式会社sci-bone / AI Engineer & Sports Engineer
I am currently on a gap year to enrol in the Data Science MSc at KCL. During my undergraduate studies, I studied Data Science in depth and for my thesis research I combined this knowledge with football to improve the accuracy of xG (goal expectancy) in football.
I am thinking about enhancing the potential and value of data especially in the field of football. Currently, various data is used in this sport. However, most of it is raw data (such as the number of shots and running distance). Therefore, I am unable to see the important information which are
I acquire Motion data from sensors attached to the whole body, and this is fed back to the sports player using machine learning or deep learning(like CNN). The company consistently performs everything from data acquisition to model construction, analysis and evaluation.
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