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Building Your First Data Science Project in Microsoft Azure

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Building Your First Data Science Project in Microsoft Azure

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种子哈希:707f475643381c3b823a4d5dfaac443a956c6dab
文件大小:531.74M
已经下载:1936次
下载速度:极快
收录时间:2023-12-20
最近下载:2025-09-24

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文件列表

  • building-first-data-science-project-microsoft-azure.zip 277.2 MB
  • 05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.mp4 32.6 MB
  • 05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.mp4 32.1 MB
  • 04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.mp4 25.2 MB
  • 04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.mp4 25.1 MB
  • 03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.mp4 19.6 MB
  • 02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.mp4 15.1 MB
  • 03. Starting a Data Science Project/08. Demo- Using Compute Instances.mp4 14.9 MB
  • 04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.mp4 13.3 MB
  • 04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.mp4 13.3 MB
  • 03. Starting a Data Science Project/04. A Preview on Development Environments.mp4 11.8 MB
  • 03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.mp4 11.3 MB
  • 03. Starting a Data Science Project/03. Demo- Create an ML Workspace.mp4 10.7 MB
  • 03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.mp4 10.2 MB
  • 05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.mp4 9.3 MB
  • 03. Starting a Data Science Project/01. A Walkthrough of Model Development.mp4 7.8 MB
  • 05. Implementing Responsible ML/04. Key Takeaways and Tips.mp4 5.4 MB
  • 02. Meet Azure Machine Learning/03. Getting the Best out of This Course.mp4 4.3 MB
  • 03. Starting a Data Science Project/02. What Is an ML Workspace-.mp4 3.7 MB
  • 04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.mp4 3.6 MB
  • 03. Starting a Data Science Project/09. Key Takeaways and Tips.mp4 3.4 MB
  • 01. Course Overview/01. Course Overview.mp4 3.2 MB
  • 02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.mp4 2.3 MB
  • 02. Meet Azure Machine Learning/04. Outline of the Course.mp4 1.4 MB
  • 05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.srt 69.7 kB
  • 05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.srt 61.7 kB
  • 04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.srt 57.5 kB
  • 04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.srt 53.9 kB
  • 04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.srt 39.3 kB
  • 03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.srt 36.7 kB
  • 03. Starting a Data Science Project/08. Demo- Using Compute Instances.srt 35.5 kB
  • 04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.srt 32.4 kB
  • 03. Starting a Data Science Project/04. A Preview on Development Environments.srt 29.8 kB
  • 03. Starting a Data Science Project/03. Demo- Create an ML Workspace.srt 29.7 kB
  • 05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.srt 28.1 kB
  • 03. Starting a Data Science Project/01. A Walkthrough of Model Development.srt 25.3 kB
  • 03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.srt 25.1 kB
  • 03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.srt 23.6 kB
  • 02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.srt 23.4 kB
  • 02. Meet Azure Machine Learning/03. Getting the Best out of This Course.srt 15.7 kB
  • 05. Implementing Responsible ML/04. Key Takeaways and Tips.srt 12.2 kB
  • 03. Starting a Data Science Project/02. What Is an ML Workspace-.srt 11.4 kB
  • 04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.srt 9.1 kB
  • 03. Starting a Data Science Project/09. Key Takeaways and Tips.srt 8.8 kB
  • 01. Course Overview/01. Course Overview.srt 8.4 kB
  • 02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.srt 6.5 kB
  • 02. Meet Azure Machine Learning/04. Outline of the Course.srt 4.8 kB

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