Overview
Who this competition fits
Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
OpenTenBase是由开放原子开源基金会孵化和运营的项目。OpenTenBase是一款企业级分布式HTAP开源数据库，具备高扩展性、商业数据库语法兼容、分布式HTAP引擎、多级容灾和多维度资源隔离等能力，已成功应用于金融、医疗、航天等多个行业的核心业务系统中。数据库的优化提升、与传统数据库的兼容，都有很多细节需要不断打磨。 本赛项希望更多数据库内核爱好者、工程师参加进来，一起优化提升OpenTenBase，助力其得到更广泛的应用。 Official category: 实战竞技赛. Organizers: 腾讯云计算（北京）有限责任公司. Participants: 10.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- OpenAtom
- Last checked
- Nov 11, 2024