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Create and Publish Pipelines for Batch Inferencing with Azure

  • 收录时间:2023-12-03 13:08:01
  • 文件大小:384MB
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文件列表

  1. 05. Deploying a Batch Inference Pipeline/04. Demo- Deploying an Inference Pipeline.mp4 22MB
  2. 05. Deploying a Batch Inference Pipeline/03. Demo- Configuring and Testing an Inference Pipeline.mp4 21MB
  3. 03. Building a Model Training Pipeline/03. Demo- Handling Missing Data.mp4 21MB
  4. 04. Publishing a Batch Inference Pipeline/07. Demo- Publishing and Running a Batch Inference Pipeline.mp4 20MB
  5. 02. Getting Started with the Azure Machine Learning Designer/08. Demo- Loading and Configuring a Dataset.mp4 20MB
  6. 04. Publishing a Batch Inference Pipeline/06. Demo- Creating and Analyzing a Batch Inference Pipeline.mp4 18MB
  7. 05. Deploying a Batch Inference Pipeline/02. Demo- Creating a Pipeline for Inferences.mp4 16MB
  8. 02. Getting Started with the Azure Machine Learning Designer/05. Demo- Creating an Azure ML Workspace.mp4 16MB
  9. 02. Getting Started with the Azure Machine Learning Designer/09. Demo- Summarizing a Dataset.mp4 16MB
  10. 04. Publishing a Batch Inference Pipeline/02. Demo- Implementing Hyperparameter Tuning.mp4 15MB
  11. 03. Building a Model Training Pipeline/07. Demo- Training and Evaluating a Model.mp4 14MB
  12. 03. Building a Model Training Pipeline/08. Demo- Examining the Evaluation Metrics.mp4 14MB
  13. 03. Building a Model Training Pipeline/06. Demo- Creating Training and Test Sets.mp4 14MB
  14. 03. Building a Model Training Pipeline/05. Demo- Standardizing Numeric Fields.mp4 14MB
  15. 04. Publishing a Batch Inference Pipeline/03. Demo- Evaluating Combinations of Hyperparameters.mp4 13MB
  16. 02. Getting Started with the Azure Machine Learning Designer/07. Demo- Exploring the Designer.mp4 13MB
  17. 03. Building a Model Training Pipeline/02. Demo- Marking Columns as Categorical.mp4 12MB
  18. 03. Building a Model Training Pipeline/01. Common Machine Learning Workflows.mp4 12MB
  19. 02. Getting Started with the Azure Machine Learning Designer/04. Azure ML Terms and Concepts.mp4 11MB
  20. 04. Publishing a Batch Inference Pipeline/05. Demo- Re-building a Model Training Pipeline.mp4 10MB
  21. 02. Getting Started with the Azure Machine Learning Designer/02. Introducing Azure Machine Learning.mp4 10MB
  22. 03. Building a Model Training Pipeline/04. Demo- Applying One-hot Encoding.mp4 9MB
  23. 05. Deploying a Batch Inference Pipeline/05. Demo- Consuming an Inference Pipeline.mp4 8MB
  24. 02. Getting Started with the Azure Machine Learning Designer/06. Demo- Create a Compute Cluster.mp4 7MB
  25. 02. Getting Started with the Azure Machine Learning Designer/10. Demo- Running a Pipeline.mp4 7MB
  26. 04. Publishing a Batch Inference Pipeline/01. Hyperparameter Tuning.mp4 5MB
  27. 02. Getting Started with the Azure Machine Learning Designer/01. Course Prerequisites and Outline.mp4 5MB
  28. 02. Getting Started with the Azure Machine Learning Designer/03. Datasets in Azure ML.mp4 4MB
  29. 04. Publishing a Batch Inference Pipeline/04. Batch Inference Pipelines.mp4 4MB
  30. create-publish-pipeline-batch-inferencing-azure.zip 4MB
  31. 01. Course Overview/01. Course Overview.mp4 4MB
  32. 05. Deploying a Batch Inference Pipeline/01. Inference Pipelines in Azure ML.mp4 3MB
  33. 05. Deploying a Batch Inference Pipeline/06. Summary and Further Study.mp4 1MB
  34. 02. Getting Started with the Azure Machine Learning Designer/08. Demo- Loading and Configuring a Dataset.srt 62KB
  35. 05. Deploying a Batch Inference Pipeline/04. Demo- Deploying an Inference Pipeline.srt 60KB
  36. 04. Publishing a Batch Inference Pipeline/07. Demo- Publishing and Running a Batch Inference Pipeline.srt 59KB
  37. 05. Deploying a Batch Inference Pipeline/03. Demo- Configuring and Testing an Inference Pipeline.srt 57KB
  38. 03. Building a Model Training Pipeline/01. Common Machine Learning Workflows.srt 56KB
  39. 05. Deploying a Batch Inference Pipeline/02. Demo- Creating a Pipeline for Inferences.srt 54KB
  40. 03. Building a Model Training Pipeline/03. Demo- Handling Missing Data.srt 52KB
  41. 02. Getting Started with the Azure Machine Learning Designer/05. Demo- Creating an Azure ML Workspace.srt 51KB
  42. 02. Getting Started with the Azure Machine Learning Designer/02. Introducing Azure Machine Learning.srt 48KB
  43. 02. Getting Started with the Azure Machine Learning Designer/04. Azure ML Terms and Concepts.srt 46KB
  44. 04. Publishing a Batch Inference Pipeline/06. Demo- Creating and Analyzing a Batch Inference Pipeline.srt 46KB
  45. 03. Building a Model Training Pipeline/08. Demo- Examining the Evaluation Metrics.srt 46KB
  46. 04. Publishing a Batch Inference Pipeline/02. Demo- Implementing Hyperparameter Tuning.srt 39KB
  47. 04. Publishing a Batch Inference Pipeline/03. Demo- Evaluating Combinations of Hyperparameters.srt 39KB
  48. 03. Building a Model Training Pipeline/06. Demo- Creating Training and Test Sets.srt 38KB
  49. 03. Building a Model Training Pipeline/07. Demo- Training and Evaluating a Model.srt 37KB
  50. 02. Getting Started with the Azure Machine Learning Designer/09. Demo- Summarizing a Dataset.srt 36KB
  51. 03. Building a Model Training Pipeline/05. Demo- Standardizing Numeric Fields.srt 36KB
  52. 03. Building a Model Training Pipeline/02. Demo- Marking Columns as Categorical.srt 31KB
  53. 02. Getting Started with the Azure Machine Learning Designer/07. Demo- Exploring the Designer.srt 30KB
  54. 04. Publishing a Batch Inference Pipeline/01. Hyperparameter Tuning.srt 25KB
  55. 02. Getting Started with the Azure Machine Learning Designer/06. Demo- Create a Compute Cluster.srt 25KB
  56. 03. Building a Model Training Pipeline/04. Demo- Applying One-hot Encoding.srt 24KB
  57. 04. Publishing a Batch Inference Pipeline/05. Demo- Re-building a Model Training Pipeline.srt 24KB
  58. 02. Getting Started with the Azure Machine Learning Designer/01. Course Prerequisites and Outline.srt 22KB
  59. 02. Getting Started with the Azure Machine Learning Designer/10. Demo- Running a Pipeline.srt 22KB
  60. 02. Getting Started with the Azure Machine Learning Designer/03. Datasets in Azure ML.srt 19KB
  61. 04. Publishing a Batch Inference Pipeline/04. Batch Inference Pipelines.srt 18KB
  62. 05. Deploying a Batch Inference Pipeline/05. Demo- Consuming an Inference Pipeline.srt 17KB
  63. 05. Deploying a Batch Inference Pipeline/01. Inference Pipelines in Azure ML.srt 15KB
  64. 01. Course Overview/01. Course Overview.srt 14KB
  65. 05. Deploying a Batch Inference Pipeline/06. Summary and Further Study.srt 7KB