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
昇腾CANN训练营社区基于真实产业案例设计，完成任务即有机会获得华为三折叠手机、万元笔记本电脑，荣登社区荣誉榜单，任务每月更新，月底截止，多重任务值任务适合各阶段实操开发者。 Official category: devEvent. Participants: 0. Organizers: 昇腾社区, CANN.
Resources
What this competition gives you
Taken from the competition's official page.
- Training sessionEnrollment for the 2026 CANN Training Camp, Season 1.
- Support channelActivity group for learning activity-related matters.
- Support channelTechnical-question support through issues in the relevant code repository.
- TutorialDevelopment process and precautions guidance.
- TutorialFrequently asked questions explanation.
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
- ModelScope
- Registration
- Open signup form
- Last checked
- May 22, 2026