Editor, Bureaucrats, Administrators
990
edits
(→Topics) |
(→Topics) |
||
Line 138: | Line 138: | ||
| [http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf][https://spark.apache.org/] [https://www.youtube.com/watch?v=e-Ys-2uVxM0&list=PL-x35fyliRwiST9gF7Z8Nu3LgJDFRuwfr] | | [http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf][https://spark.apache.org/] [https://www.youtube.com/watch?v=e-Ys-2uVxM0&list=PL-x35fyliRwiST9gF7Z8Nu3LgJDFRuwfr] | ||
|- | |- | ||
|'''Kaggle: a platform for making data science a sport''' | |'''Kaggle: a platform for making data science a sport''' ''(Assigned to Hari Raghavendar Rao Bandari)'' | ||
Kaggle is a website where companies and researchers post their data and prediction problems and data scientists from all over the world compete to produce the best models. The student taking this topic will answer the following questions: what is data scientist? What kinds of skills are owned by data scientist? How do Kaggle competitions work? We hope that the student can not only answer above high level questions, but can tell us some personal experience by engaging one of these competition. | Kaggle is a website where companies and researchers post their data and prediction problems and data scientists from all over the world compete to produce the best models. The student taking this topic will answer the following questions: what is data scientist? What kinds of skills are owned by data scientist? How do Kaggle competitions work? We hope that the student can not only answer above high level questions, but can tell us some personal experience by engaging one of these competition. |