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Applied Supervised Learning with R

You're reading from   Applied Supervised Learning with R Use machine learning libraries of R to build models that solve business problems and predict future trends

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Product type Paperback
Published in May 2019
Publisher
ISBN-13 9781838556334
Length 502 pages
Edition 1st Edition
Languages
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Authors (2):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
Karthik Ramasubramanian Karthik Ramasubramanian
Author Profile Icon Karthik Ramasubramanian
Karthik Ramasubramanian
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Table of Contents (12) Chapters Close

Applied Supervised Learning with R
Preface
1. R for Advanced Analytics FREE CHAPTER 2. Exploratory Analysis of Data 3. Introduction to Supervised Learning 4. Regression 5. Classification 6. Feature Selection and Dimensionality Reduction 7. Model Improvements 8. Model Deployment 9. Capstone Project - Based on Research Papers Appendix

What is Amazon API Gateway?


Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. With this service, we can develop REST as well as WebSocket APIs that act as a front door for applications to access data, business logic, or functionality from other backend services, while protecting the backend services within the private network. These backend services could be any applications that are running on AWS.

The overall flow of our service can be represented as in the following diagram:

Figure 8.9: Workflow of API Gateway, AWS Lambda, and SageMaker

The client (say, a web browser), calls an Amazon API Gateway's defined action and passes the appropriate parameter values. API Gateway passes the request to AWS Lambda, while it also seals the backend so that AWS Lambda stays and executes in a protected private network.

In our case, we will use Lambda to help us tailor the data received from API Gateway into...

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