Deploying and Managing Models in Microsoft Azure

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Deploying and Managing Models in Microsoft Azure

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收录时间：2023-12-30
最近下载：2024-12-10

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文件列表

  • deploying-managing-models-microsoft-azure.zip 371.6 MB
  • 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.mp4 27.7 MB
  • 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.mp4 23.8 MB
  • 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.mp4 19.7 MB
  • 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.mp4 18.1 MB
  • 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.mp4 17.7 MB
  • 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.mp4 17.7 MB
  • 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.mp4 16.8 MB
  • 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.mp4 14.1 MB
  • 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.mp4 13.1 MB
  • 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.mp4 11.9 MB
  • 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.mp4 9.0 MB
  • 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.mp4 8.8 MB
  • 05. Machine Learning Operations in Azure/01. What Is MLOps-.mp4 8.6 MB
  • 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.mp4 7.8 MB
  • 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.mp4 6.3 MB
  • 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.mp4 6.1 MB
  • 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.mp4 5.8 MB
  • 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.mp4 5.5 MB
  • 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.mp4 4.8 MB
  • 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.mp4 4.5 MB
  • 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.mp4 4.4 MB
  • 01. Course Overview/01. Course Overview.mp4 3.9 MB
  • 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.mp4 3.9 MB
  • 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.mp4 3.7 MB
  • 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.mp4 3.7 MB
  • 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.mp4 1.9 MB
  • 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.mp4 1.4 MB
  • 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.srt 9.7 kB
  • 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.srt 9.6 kB
  • 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.srt 7.1 kB
  • 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.srt 6.9 kB
  • 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.srt 6.7 kB
  • 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.srt 6.3 kB
  • 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.srt 6.2 kB
  • 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.srt 6.1 kB
  • 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.srt 5.9 kB
  • 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.srt 5.8 kB
  • 05. Machine Learning Operations in Azure/01. What Is MLOps-.srt 5.0 kB
  • 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.srt 4.7 kB
  • 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.srt 4.2 kB
  • 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.srt 4.0 kB
  • 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.srt 4.0 kB
  • 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.srt 3.8 kB
  • 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.srt 3.7 kB
  • 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.srt 3.2 kB
  • 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.srt 2.9 kB
  • 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.srt 2.9 kB
  • 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.srt 2.8 kB
  • 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.srt 2.4 kB
  • 01. Course Overview/01. Course Overview.srt 2.1 kB
  • 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.srt 2.0 kB
  • 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.srt 1.4 kB
  • 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.srt 1.1 kB
  • 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.srt 1.1 kB

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