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Deploying and Managing Models in Microsoft Azure

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文件列表

  1. deploying-managing-models-microsoft-azure.zip 354MB
  2. 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.mp4 26MB
  3. 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.mp4 23MB
  4. 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.mp4 19MB
  5. 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.mp4 17MB
  6. 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.mp4 17MB
  7. 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.mp4 17MB
  8. 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.mp4 16MB
  9. 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.mp4 13MB
  10. 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.mp4 12MB
  11. 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.mp4 11MB
  12. 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.mp4 9MB
  13. 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.mp4 8MB
  14. 05. Machine Learning Operations in Azure/01. What Is MLOps-.mp4 8MB
  15. 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.mp4 7MB
  16. 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.mp4 6MB
  17. 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.mp4 6MB
  18. 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.mp4 6MB
  19. 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.mp4 5MB
  20. 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.mp4 5MB
  21. 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.mp4 4MB
  22. 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.mp4 4MB
  23. 01. Course Overview/01. Course Overview.mp4 4MB
  24. 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.mp4 4MB
  25. 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.mp4 4MB
  26. 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.mp4 4MB
  27. 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.mp4 2MB
  28. 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.mp4 1MB
  29. 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.srt 10KB
  30. 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.srt 9KB
  31. 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.srt 7KB
  32. 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.srt 7KB
  33. 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.srt 7KB
  34. 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.srt 6KB
  35. 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.srt 6KB
  36. 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.srt 6KB
  37. 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.srt 6KB
  38. 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.srt 6KB
  39. 05. Machine Learning Operations in Azure/01. What Is MLOps-.srt 5KB
  40. 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.srt 5KB
  41. 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.srt 4KB
  42. 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.srt 4KB
  43. 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.srt 4KB
  44. 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.srt 4KB
  45. 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.srt 4KB
  46. 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.srt 3KB
  47. 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.srt 3KB
  48. 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.srt 3KB
  49. 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.srt 3KB
  50. 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.srt 2KB
  51. 01. Course Overview/01. Course Overview.srt 2KB
  52. 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.srt 2KB
  53. 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.srt 1KB
  54. 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.srt 1KB
  55. 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.srt 1KB