In computer science, „Baseball“ does not have a specific technical definition. However, it may refer to various programming and data-related contexts where baseball is used as a metaphor or has relevance, such as in sports analytics, game simulation, or statistical modeling. In data management, „baseball“ could pertain to datasets containing player statistics, game results, or team performance metrics. In these cases, baseball serves as a domain from which data analysis, machine learning models, or algorithm testing can be derived, particularly when analyzing patterns or predicting outcomes based on historical data.
Overall, while „baseball“ itself is primarily a sport, its mention in computer science typically relates to its application in data analytics rather than a defined concept within the field.
Los Angeles Dodgers porazili Chicago Cubs 4-1 v elektrizujícím otevření sezóny MLB na Tokyo Dome, což vzbudilo očekávání ohledně jejich obhajoby titulu. Pálkař Cubs Shota Imanaga prvotně zastavil Shohei Ohtaniho,…