Building Your First Data Science Project in Microsoft Azure
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2025-3-18 01:49 | 2025-4-14 06:22 | 51 | 266.8 MB | 23 |
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文件列表
- 01. Course Overview/01. Course Overview.mp43.08MB
- 02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.mp414.35MB
- 02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.mp42.16MB
- 02. Meet Azure Machine Learning/03. Getting the Best out of This Course.mp44.14MB
- 02. Meet Azure Machine Learning/04. Outline of the Course.mp41.3MB
- 03. Starting a Data Science Project/01. A Walkthrough of Model Development.mp47.44MB
- 03. Starting a Data Science Project/02. What Is an ML Workspace-.mp43.57MB
- 03. Starting a Data Science Project/03. Demo- Create an ML Workspace.mp410.23MB
- 03. Starting a Data Science Project/04. A Preview on Development Environments.mp411.21MB
- 03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.mp410.74MB
- 03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.mp418.73MB
- 03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.mp49.75MB
- 03. Starting a Data Science Project/08. Demo- Using Compute Instances.mp414.18MB
- 03. Starting a Data Science Project/09. Key Takeaways and Tips.mp43.28MB
- 04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.mp412.73MB
- 04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.mp424.07MB
- 04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.mp423.95MB
- 04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.mp412.72MB
- 04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.mp43.46MB
- 05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.mp48.88MB
- 05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.mp430.63MB
- 05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.mp431.05MB
- 05. Implementing Responsible ML/04. Key Takeaways and Tips.mp45.16MB
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