AUTOKAGGLE: A MULTI-AGENT FRAMEWORK FOR AUTONOMOUS DATA SCIENCE COMPETITIONS
Автор: AI Papers Podcast Daily
Загружено: 2024-10-29
Просмотров: 44
Описание: This paper describes a new computer program called AutoKaggle that can help data scientists solve tricky problems like predicting who survived the Titanic sinking. AutoKaggle is like a team of robots working together: one robot reads the problem, another plans the steps to solve it, another writes the code, and so on. AutoKaggle also has a library of tools it can use, like tools to clean up messy data or create new information from existing data. The researchers tested AutoKaggle on several data science competitions and found it was very good at solving them, even better than some other similar programs. AutoKaggle is good at these competitions because it carefully tests its work at each step to make sure there are no mistakes. The researchers hope that AutoKaggle can make data science easier and more accessible for everyone.
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
