Overview
Who this competition fits
Advanced practitioners with experience in machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
利用OPEA开源项目中生成式人工智能模块化组件及技术栈，结合团队专业或兴趣，构建面向特定垂类领域目标的新场景应用（或基于参考蓝图进行二次开发），在支持开放及可定制目标硬件平台上，展示并部署该解决方案。 Official category: 实战竞技赛. Organizers: 英特尔中国有限公司. Participants: 5.
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
- Sep 23, 2024