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<img src="./images/head.png" title="header" width="400">
</div>
<h4 align="center">
機械学習プロジェクトを進めるためのガイドブック
</h4>
<h4 align="center">機械学習プロジェクトを進めるためのガイドブック</h4>
<h5 align="center">2021/04/01 : $\beta$ Version</h5>
---
### What it is
Machine Learng Best Practices は Azure Machine Learning を中心とした機械学習プロジェクトを進める際のガイドブックです。詳細は [サイト]() をご確認ください。
Machine Learng Best Practices は Azure Machine Learning を中心とした機械学習プロジェクトを進める際のガイドブックです。
### Table of Content
- Business
#### Business
- [ :school: Microsoft AI Business School](/business/school.md)
- [ :briefcase: 事例](/business/usecase.md)
- [ :school: Microsoft AI Business School](/business/school.md)
- [ :briefcase: 事例](/business/usecase.md)
- Technical
#### Technical
- [ :memo: Design Principle](technical/machine-learning-design-principle.md)
- [ :white_check_mark: WAF Assessment](technical/assessment-waf.md)
- [ :wrench: アーキテクチャ](technical/architecture.md)
- [ :pencil: サンプル実装](technical/sample.md)
- [ :bulb: Tips](technical/tips.md)
- [ :information_desk_person: サポート](technical/support)
- [ :cloud: 技術情報](technical/techinfo.md)
- [ :pencil2: ラーニング](technical/learning.md)
- [ :memo: Design Principle](technical/machine-learning-design-principle.md)
- [ :white_check_mark: WAF Assessment](technical/assessment-waf.md)
- [ :wrench: アーキテクチャ](technical/architecture.md)
- [ :pencil: サンプル実装](technical/sample.md)
- [ :bulb: Tips](technical/tips.md)
- [ :information_desk_person: サポート](technical/support)
- [ :cloud: 技術情報](technical/techinfo.md)
- [ :pencil2: ラーニング](technical/learning.md)
---
### Thanks
@ -47,3 +48,6 @@ trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.

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# Project
> This repo has been populated by an initial template to help get you started. Please
> make sure to update the content to build a great experience for community-building.
As the maintainer of this project, please make a few updates:
- Improving this README.MD file to provide a great experience
- Updating SUPPORT.MD with content about this project's support experience
- Understanding the security reporting process in SECURITY.MD
- Remove this section from the README
## Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
## Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.

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- Business
- [ :school: Microsoft AI Business School](/business/school.md)
- [ :school: AI Business School](/business/school.md)
- [ :briefcase: 事例](/business/usecase.md)
- Technical

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### 事例
- [Microsoft AI お客様事例サイト](https://www.microsoft.com/ja-jp/ai/customer-stories)
- [Microsoft AI お客様事例 (Global)](https://www.microsoft.com/ja-jp/ai/customer-stories)
- [Microsoft AI お客様事例 (日本)](https://customers.microsoft.com/ja-jp/search?sq=%22Azure%20Machine%20Learning%22&ff=&p=2&so=story_publish_date%20desc)
- [Microsoft AI 事例大全](https://info.microsoft.com/JA-AI-CNTNT-FY20-02Feb-25-MicrosoftAI-SRGCM3284_01Registration-ForminBody.html)
```pdf
path-to-the-pdf-file
```

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documents/1970-IP4_Microsoft AI 事例大全_web.pdf Normal file

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||地震層相画像のセグメンテーション| [Deep Seismic](https://github.com/microsoft/seismic-deeplearning)|
||姿勢推定| [Computer Vision Receips](https://github.com/microsoft/computervision-recipes)|
|Personalize |商品のレコメンデーション|[Azure Synapse Solution Accelerator Retail Recommender](https://github.com/microsoft/Azure-Synapse-Retail-Recommender-Solution-Accelerator)|
||協調フィルタリング、コンテンツベースフィルタリング、ハイブリッド| [Microsoft Recommenders](https://github.com/microsoft/computervision-recipes) |
||協調フィルタリング、コンテンツベースフィルタリング、ハイブリッド| [Microsoft Recommenders](https://github.com/microsoft/computervision-recipes)([日本語訳](https://github.com/c-nova/recommenders)) |
|Predictive Maintenance |設備故障 (設備耐用年数) の予測 |[DeepLearning-Workshop](https://github.com/konabuta/DeepLearning-Workshop/blob/ff71b9a630fc1691f10bfba420d76ee0b90fa3de/Sample/Keras/Keras-LSTM-PredictiveMaintenance-datastore-Hyperdrive.ipynb) |
|Autonomous System |ビル空調の運転最適化 |[bonsai-simulink](https://github.com/microsoft/bonsai-simulink/tree/main/samples/building_energy_management) |
||化学プラントにおける製造工程最適化 |[bonsai-simulink](https://github.com/microsoft/bonsai-simulink/tree/main/samples/building_energy_management) |