Udacity Machine Learning Fundamentals Nanodegree - Project 4 Walkthrough

Описание к видео Udacity Machine Learning Fundamentals Nanodegree - Project 4 Walkthrough

A detailed walkthrough of Project 4 - Build an ML Workflow For Scones Unlimited On Amazon SageMaker

Contents:
0:00 Introduction.
1:04 Launch SageMaker Studio and Open Starter Code.
1:39 Cifar-100 Dataset Web Page.
2:33 Cifar-100 Dataset Downloaded Archive Examination.
4:49 Extraction, Transformation, and Loading of the Dataset.
6:45 Creating and Uploading the Dataset Manifest (TSV) Files.
8:02 Starting Model Training Job.
11:01 Model Deployment to an Endpoint and Model Monitor Setup.
12:34 The Step Function and Lambdas Workflow.
15:37 Chaining Lambda Functions Outputs and Test Events.
16:22 Packaging Lambda 2 SageMaker Dependency Into a Labmda Layer.
22:10 Saving Lambdas and Step Function and Taking Screenshots.
22:56 Testing and Evaluation (Generating Test Cases).
23:12 Examining Endpoint Model Monitor Output (Data Capture).
24:09 Generating Visualizations from Endpoint Data Capture.
24:40 Preparing Project Files for Submission.

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