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Build, Train, and Deploy Machine Learning Models with Amazon SageMaker

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  • 文件大小:432MB
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文件列表

  1. 03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.mp4 30MB
  2. 03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.mp4 29MB
  3. 03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.mp4 28MB
  4. 04. Training Machine Learning Models Using AWS SageMaker/08. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 23MB
  5. 06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.mp4 22MB
  6. 05. Deploying Machine Learning Models Using AWS SageMaker/03. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 22MB
  7. 04. Training Machine Learning Models Using AWS SageMaker/03. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 20MB
  8. 03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 18MB
  9. 05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.mp4 16MB
  10. 05. Deploying Machine Learning Models Using AWS SageMaker/04. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 15MB
  11. 05. Deploying Machine Learning Models Using AWS SageMaker/06. Deploying and Testing the Trained Model Based on a Custom Mxnet Algorithm Using the High-level SageMaker Python Library.mp4 14MB
  12. 04. Training Machine Learning Models Using AWS SageMaker/11. Creating and Monitoring a Tuning Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.mp4 14MB
  13. 05. Deploying Machine Learning Models Using AWS SageMaker/05. Deploying and Testing the Trained Model Based on a Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 14MB
  14. 04. Training Machine Learning Models Using AWS SageMaker/10. Creating and Monitoring a Tuning Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 12MB
  15. 04. Training Machine Learning Models Using AWS SageMaker/09. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 12MB
  16. 04. Training Machine Learning Models Using AWS SageMaker/06. Creating and Monitoring a Training Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.mp4 12MB
  17. 04. Training Machine Learning Models Using AWS SageMaker/05. Creating and Monitoring a Training Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.mp4 12MB
  18. 04. Training Machine Learning Models Using AWS SageMaker/04. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 11MB
  19. 03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.mp4 10MB
  20. 02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.mp4 9MB
  21. 06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.mp4 7MB
  22. 03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.mp4 7MB
  23. 02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.mp4 7MB
  24. 06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.mp4 6MB
  25. 03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 6MB
  26. aws-sagemaker-machine-learning-models.zip 5MB
  27. 04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.mp4 5MB
  28. 03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.mp4 5MB
  29. 03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.mp4 3MB
  30. 04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.mp4 3MB
  31. 02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.mp4 3MB
  32. 01. Course Overview/01. Course Overview.mp4 3MB
  33. 06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.mp4 3MB
  34. 05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.mp4 3MB
  35. 03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.mp4 2MB
  36. 06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.mp4 2MB
  37. 05. Deploying Machine Learning Models Using AWS SageMaker/02. Overview of Deploying and Testing Machine Learning Models in AWS SageMaker Hosting Services.mp4 2MB
  38. 02. Getting Started with AWS SageMaker/02. Course Scenario.mp4 2MB
  39. 03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.mp4 2MB
  40. 05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 2MB
  41. 03. Building Machine Learning Models Using AWS SageMaker/13. Summary.mp4 2MB
  42. 02. Getting Started with AWS SageMaker/06. Summary.mp4 1MB
  43. 06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.mp4 1MB
  44. 02. Getting Started with AWS SageMaker/01. Introduction.mp4 1MB
  45. 06. Managing Security and Scalability in AWS SageMaker/08. Summary.mp4 1MB
  46. 04. Training Machine Learning Models Using AWS SageMaker/12. Summary.mp4 1MB
  47. 05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.mp4 1MB
  48. 06. Managing Security and Scalability in AWS SageMaker/01. Introduction.mp4 1MB
  49. 04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 1011KB
  50. 03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 862KB
  51. 03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.srt 20KB
  52. 04. Training Machine Learning Models Using AWS SageMaker/08. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.srt 19KB
  53. 03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.srt 18KB
  54. 03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.srt 18KB
  55. 06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.srt 16KB
  56. 03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.srt 15KB
  57. 05. Deploying Machine Learning Models Using AWS SageMaker/03. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.srt 13KB
  58. 04. Training Machine Learning Models Using AWS SageMaker/03. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the Low-level AWS SDK for Python.srt 12KB
  59. 05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.srt 12KB
  60. 02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.srt 8KB
  61. 05. Deploying Machine Learning Models Using AWS SageMaker/06. Deploying and Testing the Trained Model Based on a Custom Mxnet Algorithm Using the High-level SageMaker Python Library.srt 8KB
  62. 04. Training Machine Learning Models Using AWS SageMaker/05. Creating and Monitoring a Training Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.srt 8KB
  63. 04. Training Machine Learning Models Using AWS SageMaker/04. Creating and Monitoring a Training Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.srt 8KB
  64. 05. Deploying Machine Learning Models Using AWS SageMaker/04. Deploying and Testing the Trained Model Based on the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.srt 8KB
  65. 05. Deploying Machine Learning Models Using AWS SageMaker/05. Deploying and Testing the Trained Model Based on a Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.srt 8KB
  66. 04. Training Machine Learning Models Using AWS SageMaker/10. Creating and Monitoring a Tuning Job for the Custom Tensorflow Algorithm Using the High-level SageMaker Python Library.srt 8KB
  67. 04. Training Machine Learning Models Using AWS SageMaker/11. Creating and Monitoring a Tuning Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.srt 7KB
  68. 04. Training Machine Learning Models Using AWS SageMaker/06. Creating and Monitoring a Training Job for the Custom MXnet Algorithm Using the High-level SageMaker Python Library.srt 7KB
  69. 03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.srt 7KB
  70. 04. Training Machine Learning Models Using AWS SageMaker/09. Creating and Monitoring a Tuning Job for the Built-in Image Classification Algorithm Using the High-level SageMaker Python Library.srt 7KB
  71. 02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.srt 7KB
  72. 04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.srt 6KB
  73. 03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.srt 6KB
  74. 03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.srt 5KB
  75. 03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.srt 5KB
  76. 06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.srt 4KB
  77. 06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.srt 4KB
  78. 03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.srt 4KB
  79. 05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.srt 4KB
  80. 04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.srt 3KB
  81. 06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.srt 3KB
  82. 03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.srt 3KB
  83. 06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.srt 3KB
  84. 02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.srt 3KB
  85. 05. Deploying Machine Learning Models Using AWS SageMaker/02. Overview of Deploying and Testing Machine Learning Models in AWS SageMaker Hosting Services.srt 3KB
  86. 01. Course Overview/01. Course Overview.srt 3KB
  87. 02. Getting Started with AWS SageMaker/06. Summary.srt 2KB
  88. 03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.srt 2KB
  89. 03. Building Machine Learning Models Using AWS SageMaker/13. Summary.srt 2KB
  90. 05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.srt 2KB
  91. 06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.srt 2KB
  92. 06. Managing Security and Scalability in AWS SageMaker/08. Summary.srt 2KB
  93. 04. Training Machine Learning Models Using AWS SageMaker/12. Summary.srt 1KB
  94. 02. Getting Started with AWS SageMaker/02. Course Scenario.srt 1KB
  95. 05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.srt 1KB
  96. 02. Getting Started with AWS SageMaker/01. Introduction.srt 1KB
  97. 06. Managing Security and Scalability in AWS SageMaker/01. Introduction.srt 1KB
  98. 04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.srt 1KB
  99. 03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.srt 874B