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Johns Hopkins Students Use AI to Predict Baseball’s MVPs
Their tool employs a historical model that weighs the relative importance of eight statistical categories to determine which players have the best chance to take home MLB's top awards. Read full article in JHU HUB
This Johns Hopkins student believes AI can bolster hockey analytics
For the past year, Tad Berkery has balanced his coursework as a computer science student at Johns Hopkins University with developing a project he believes one day could help an NHL team win the Stanley Cup. The 21-year-old has analyzed whole seasons’ worth of data —...
Numbers Game
Think of baseball, and you think of numbers. The last player to bat .400 was Ted Williams in 1941. No one’s come close to repeating Joe DiMaggio’s 56-game hitting streak in that same year. Math’s importance to the sport is enduring. The statistical recap of each game...
Computer Scientist Anton Dahbura Goes By a Different Name: Tony Baseball
He's combined his love of America's pastime and computer science to develop programs that help baseball teams identify the best available athletes. Read full article in Johns Hopkins Magazine