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

Creation Time	Sept. 21, 2023, 4:02 a.m.
Last Access Time	Nov. 19, 2024, 9:49 a.m.
File Size	432.5 MB
Keywords	and Deploy Models Machine Amazon Train Build Learning SageMaker with
Total Requests	61
Total Files	99
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.mp4 29.9 MB
03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.mp4 28.7 MB
03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.mp4 28.4 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.mp4 22.8 MB
06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.mp4 22.4 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.mp4 22.1 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.mp4 20.1 MB
03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.mp4 18.3 MB
05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.mp4 15.8 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.mp4 15.1 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.mp4 14.4 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.mp4 14.3 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.mp4 13.7 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.mp4 11.8 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.mp4 11.7 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.mp4 11.7 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.mp4 11.5 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.mp4 11.4 MB
03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.mp4 10.3 MB
02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.mp4 9.4 MB
06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.mp4 7.1 MB
03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.mp4 6.7 MB
02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.mp4 6.6 MB
06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.mp4 6.3 MB
03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.mp4 5.7 MB
aws-sagemaker-machine-learning-models.zip 5.2 MB
04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.mp4 4.8 MB
03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.mp4 4.6 MB
03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.mp4 3.5 MB
04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.mp4 3.2 MB
02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.mp4 2.8 MB
01. Course Overview/01. Course Overview.mp4 2.8 MB
06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.mp4 2.7 MB
05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.mp4 2.7 MB
03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.mp4 2.4 MB
06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.mp4 2.4 MB
05. Deploying Machine Learning Models Using AWS SageMaker/02. Overview of Deploying and Testing Machine Learning Models in AWS SageMaker Hosting Services.mp4 2.0 MB
02. Getting Started with AWS SageMaker/02. Course Scenario.mp4 1.8 MB
03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.mp4 1.7 MB
05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 1.7 MB
03. Building Machine Learning Models Using AWS SageMaker/13. Summary.mp4 1.6 MB
02. Getting Started with AWS SageMaker/06. Summary.mp4 1.4 MB
06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.mp4 1.3 MB
02. Getting Started with AWS SageMaker/01. Introduction.mp4 1.2 MB
06. Managing Security and Scalability in AWS SageMaker/08. Summary.mp4 1.2 MB
04. Training Machine Learning Models Using AWS SageMaker/12. Summary.mp4 1.2 MB
05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.mp4 1.0 MB
06. Managing Security and Scalability in AWS SageMaker/01. Introduction.mp4 1.0 MB
04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 1011.4 KB
03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.mp4 862.1 KB
03. Building Machine Learning Models Using AWS SageMaker/12. Configuring a MXNet Estimator Using the High-level SageMaker Python Library.srt 20.4 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.srt 18.6 KB
03. Building Machine Learning Models Using AWS SageMaker/05. Obtaining, Exploring, and Preprocessing Histopathology Images.srt 18.2 KB
03. Building Machine Learning Models Using AWS SageMaker/10. Configuring a Tensorflow Estimator Using the High-level SageMaker Python Library.srt 17.8 KB
06. Managing Security and Scalability in AWS SageMaker/03. Configuring Access Control to Notebook Instances.srt 16.4 KB
03. Building Machine Learning Models Using AWS SageMaker/06. Configuring the Image Classification Algorithm Using the Low-level AWS SDK for Python.srt 15.1 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.srt 13.5 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.srt 12.5 KB
05. Deploying Machine Learning Models Using AWS SageMaker/08. Integrating an AWS SageMaker Endpoint with AWS API Gateway and AWS Lambda.srt 12.2 KB
02. Getting Started with AWS SageMaker/04. Introduction to AWS SageMaker.srt 7.9 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.srt 7.9 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.srt 7.7 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.srt 7.6 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.srt 7.6 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.srt 7.6 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.srt 7.6 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.srt 7.4 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.srt 7.2 KB
03. Building Machine Learning Models Using AWS SageMaker/09. Converting Images to the TFRecord Format.srt 7.2 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.srt 7.1 KB
02. Getting Started with AWS SageMaker/05. Setting up AWS SageMaker.srt 6.9 KB
04. Training Machine Learning Models Using AWS SageMaker/02. Overview of Creating Training Jobs in SageMaker.srt 6.0 KB
03. Building Machine Learning Models Using AWS SageMaker/04. Overview of the Image Classification Built-in Algorithm.srt 5.6 KB
03. Building Machine Learning Models Using AWS SageMaker/03. Creating a Notebook Instance.srt 5.2 KB
03. Building Machine Learning Models Using AWS SageMaker/08. Overview of Using Tensorflow in SageMaker.srt 4.5 KB
06. Managing Security and Scalability in AWS SageMaker/07. Configuring Automatic Scaling for an AWS SageMaker Endpoint Using the AWS Console.srt 4.2 KB
06. Managing Security and Scalability in AWS SageMaker/05. Analyzing Endpoint Metrics and Logs with AWS CloudWatch.srt 4.2 KB
03. Building Machine Learning Models Using AWS SageMaker/07. Configuring the Image Classification Algorithm Using the High-level SageMaker Python Library.srt 4.0 KB
05. Deploying Machine Learning Models Using AWS SageMaker/07. Overview of Integrating Endpoints with AWS API Gateway and AWS Lambda.srt 3.7 KB
04. Training Machine Learning Models Using AWS SageMaker/07. Overview of Automatic Hyperparameter Optimization.srt 3.3 KB
06. Managing Security and Scalability in AWS SageMaker/04. Overview of Monitoring and Troubleshooting Deployed Models with AWS CloudWatch.srt 3.3 KB
03. Building Machine Learning Models Using AWS SageMaker/11. Overview of Using Apache MXNet in SageMaker.srt 2.9 KB
06. Managing Security and Scalability in AWS SageMaker/02. Overview of Managing Authentication and Access Control Using IAM Policies.srt 2.9 KB
02. Getting Started with AWS SageMaker/03. Overview of How the Sample REST API for Breast Cancer Detection Should Work.srt 2.7 KB
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
01. Course Overview/01. Course Overview.srt 2.6 KB
02. Getting Started with AWS SageMaker/06. Summary.srt 2.0 KB
03. Building Machine Learning Models Using AWS SageMaker/02. SageMaker Notebook Instances.srt 2.0 KB
03. Building Machine Learning Models Using AWS SageMaker/13. Summary.srt 1.9 KB
05. Deploying Machine Learning Models Using AWS SageMaker/01. Introduction.srt 1.7 KB
06. Managing Security and Scalability in AWS SageMaker/06. Overview of Configuring Automatic Scaling for AWS SageMaker Endpoints.srt 1.7 KB
06. Managing Security and Scalability in AWS SageMaker/08. Summary.srt 1.6 KB
04. Training Machine Learning Models Using AWS SageMaker/12. Summary.srt 1.4 KB
02. Getting Started with AWS SageMaker/02. Course Scenario.srt 1.3 KB
05. Deploying Machine Learning Models Using AWS SageMaker/09. Summary.srt 1.2 KB
02. Getting Started with AWS SageMaker/01. Introduction.srt 1.2 KB
06. Managing Security and Scalability in AWS SageMaker/01. Introduction.srt 1.1 KB
04. Training Machine Learning Models Using AWS SageMaker/01. Introduction.srt 1.1 KB
03. Building Machine Learning Models Using AWS SageMaker/01. Introduction.srt 874 bytes

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

File List

Download Torrent

Related Resources

Copyright Infringement