This recipe will outline the steps to perform a simple machine learning service task following the AWS ML tutorial for the Management console, but also using AWS CLI APIs. The objective of this recipe is to get you started with using Amazon ML from an AWS CLI API perspective.
Using Amazon ML for binary classification (AWS CLI)
by Heartin Kanikathottu
Serverless Programming Cookbook
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Getting Started with Serverless Computing on AWS
- Introduction
- Getting started with the AWS platform
- Your first AWS Lambda
- Your first Lambda with AWS CLI
- Your first Lambda with Amazon CloudFormation
- Using AWS SDK, Amazon CloudFormation, and AWS CLI with Lambda
- Dev Practices – dependency injection and unit testing
- Your first Lambda with serverless framework
- Building Serverless REST APIs with API Gateway
- Introduction
- Building your first API using the AWS CLI
- Building your first API using Amazon CloudFormation
- Building your first API with Lambda integration
- Building and testing your first POST API method
- Mapping requests and responses with mapping templates
- Validating request payloads with models
- Lambda and API with proxy integration
- Data Storage with Amazon DynamoDB
- Application Security with Amazon Cognito
- Introduction
- Creating a Cognito user pool
- Server-side authentication flow
- Client-side authentication flow
- User sign-up flow with Cognito
- Working with groups
- Integrating Cognito with the API gateway
- User sign-up with SMS verification and MFA
- Web Hosting with S3, Route53, and CloudFront
- Introduction
- Setting up an S3 static website
- Setting up CloudFront for an S3 website
- Registering a domain name with Route 53
- Using domains registered with other registrars
- Using custom domains with S3 static websites
- Using custom domain names with CloudFront
- Using HTTPS with a CloudFront domain
- Messaging and Notifications with SQS and SNS
- Introduction
- Your first SQS queue (AWS CLI + CloudFormation)
- Creating an SQS queue and sending messages with SDK (Java)
- Receiving and sending SQS messages in batches with SDK (Java)
- Invoking the Lambda with an SQS event (Java)
- Your first SNS topic for email and SMS (AWS CLI + CloudFormation)
- Publishing to an SNS topic with SDK (Java)
- Invoking a Lambda with SNS events (Java)
- Redshift, Amazon ML, and Alexa Skills
- Introduction
- Your first Kinesis data stream (AWS CLI)
- Writing data into Kinesis Stream with SDK (Java)
- Invoking Lambda with Kinesis events (Java)
- Using Amazon ML for binary classification (AWS CLI)
- Building and testing an Alexa skill (Java for Lambda, CLI for Alexa skill)
- Monitoring and Alerting with Amazon CloudWatch
- Serverless Programming Practices and Patterns
- Introduction
- Enabling CORS for the API and testing with CodePen
- Implementing and testing Cognito operations with the JavaScript SDK
- Federated identity with Amazon Cognito
- Creating SSL/TLS certificate with ACM
- Fan-in and fan-out architectural patterns with AWS
- Other Cloud Providers
- Other Books You May Enjoy
Using Amazon ML for binary classification (AWS CLI)
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