Build, Train, and Deploy Machine Learning Models with Amazon SageMaker
大小432.46 MB
文件数99
Info Hash:855CB230222A2CBA67AB77C7687D70F19F488BEF
收录时间2026-02-10 03:51:08
更新时间2026-02-10 03:51:08
文件列表 (99)
01. Course Overview/01. Course Overview.mp4
2.8 MB
01. Course Overview/01. Course Overview.srt
2.58 KB
02. Getting Started with AWS SageMaker/01. Introduction.mp4
1.2 MB
02. Getting Started with AWS SageMaker/01. Introduction.srt
1.17 KB
02. Getting Started with AWS SageMaker/02. Course Scenario.mp4
1.77 MB
02. Getting Started with AWS SageMaker/02. Course Scenario.srt
1.32 KB
02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.mp4
2.84 MB
02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.srt
2.68 KB
02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.mp4
6.61 MB
02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.srt
7.92 KB
02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.mp4
9.37 MB
02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.srt
6.86 KB
02. Getting Started with AWS SageMaker/06. Summary.mp4
1.43 MB
02. Getting Started with AWS SageMaker/06. Summary.srt
1.99 KB
03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.mp4
862.1 KB
03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.srt
874 B
03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.mp4
1.74 MB
03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.srt
1.98 KB
03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.mp4
6.74 MB
03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.srt
5.24 KB
03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.mp4
4.59 MB
03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.srt
5.63 KB
03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.mp4
28.37 MB
03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.srt
18.18 KB
03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4
18.31 MB
03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.srt
15.15 KB
03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.mp4
5.67 MB
03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.srt
3.99 KB
03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.mp4
3.5 MB
03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.srt
4.53 KB
03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.mp4
10.28 MB
03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.srt
7.19 KB
03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.mp4
28.69 MB
03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.srt
17.77 KB
03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.mp4
2.43 MB
03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.srt
2.9 KB
03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.mp4
29.91 MB
03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.srt
20.39 KB
03. Building Machine Learning Models Using AWS SageMaker/13. Summary.mp4
1.58 MB
03. Building Machine Learning Models Using AWS SageMaker/13. Summary.srt
1.86 KB
04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.mp4
1011.42 KB
04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.srt
1.06 KB
04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.mp4
4.83 MB
04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.srt
6.03 KB
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
20.13 MB
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
12.49 KB
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
11.39 MB
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
7.63 KB
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
11.5 MB
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
7.7 KB
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
11.67 MB
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
7.25 KB
04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.mp4
3.17 MB
04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.srt
3.27 KB
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
22.76 MB
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
18.57 KB
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
11.74 MB
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
7.09 KB
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
11.79 MB
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
7.59 KB
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
14.29 MB
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
7.35 KB
04. Training Machine Learning Models Using AWS SageMaker/12. Summary.mp4
1.16 MB
04. Training Machine Learning Models Using AWS SageMaker/12. Summary.srt
1.43 KB
05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.mp4
1.66 MB
05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.srt
1.71 KB
05. Deploying Machine Learning Models Using AWS SageMaker/02. Overview of Deploying and Testing Machine Learning Models in AWS SageMaker Hosting Services.mp4
2.01 MB
05. Deploying Machine Learning Models Using AWS SageMaker/02. Overview of Deploying and Testing Machine Learning Models in AWS SageMaker Hosting Services.srt
2.6 KB
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
22.08 MB
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
13.5 KB
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
15.08 MB
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
7.62 KB
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
13.7 MB
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
7.62 KB
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
14.42 MB
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
7.92 KB
05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.mp4
2.71 MB
05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.srt
3.65 KB
05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.mp4
15.76 MB
05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.srt
12.22 KB
05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.mp4
1.05 MB
05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.srt
1.21 KB
06. Managing Security and Scalability in AWS SageMaker/01. Introduction.mp4
1.03 MB
06. Managing Security and Scalability in AWS SageMaker/01. Introduction.srt
1.09 KB
06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.mp4
2.43 MB
06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.srt
2.88 KB
06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.mp4
22.42 MB
06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.srt
16.35 KB
06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.mp4
2.72 MB
06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.srt
3.26 KB
06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.mp4
7.05 MB
06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.srt
4.16 KB
06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.mp4
1.33 MB
06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.srt
1.71 KB
06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.mp4
6.26 MB
06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.srt
4.16 KB
06. Managing Security and Scalability in AWS SageMaker/08. Summary.mp4
1.19 MB
06. Managing Security and Scalability in AWS SageMaker/08. Summary.srt