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  3. 基于BMC技术的服务器故障诊断与预测平台设计
OpenAtomGeneral MLAdvancedRegistration unverified

基于BMC技术的服务器故障诊断与预测平台设计

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

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
本次赛题以BMC技术为基础,针对服务器典型场景,设计一个故障采集、诊断及预测平台,作品包含但不限于软件应用、硬件实现、软硬件结合的整体解决方案等。参赛方可在系统移植、应用开发两个领域内,任选一项或多项参赛。 Official category: 实战竞技赛. Organizers: 飞腾信息技术有限公司. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 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
Jan 3, 2024

Entry assessment

est.
16

Prepare before joining

Overall fit estimate

Beginner fit16/100
Learning value71/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jan 3, 2024
Source created
Jan 3, 2024
Published on this site
Aug 1, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.