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Scala Machine Learning Projects

You're reading from Scala Machine Learning Projects

Product type Book

Published in Jan 2018

Publisher Packt

ISBN-13 9781788479042

Pages 470 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Table of Contents (17) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Analyzing Insurance Severity Claims

2. Analyzing and Predicting Telecommunication Churn

3. High Frequency Bitcoin Price Prediction from Historical and Live Data

4. Population-Scale Clustering and Ethnicity Prediction

5. Topic Modeling - A Better Insight into Large-Scale Texts

6. Developing Model-based Movie Recommendation Engines

7. Options Trading Using Q-learning and Scala Play Framework

8. Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks

9. Fraud Analytics Using Autoencoders and Anomaly Detection

10. Human Activity Recognition using Recurrent Neural Networks

11. Image Classification using Convolutional Neural Networks

1. Other Books You May Enjoy

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Index

Demo prediction using Scala Play framework

Now that we have seen all the steps for this project, it's time to see a live demo. We will wrap up the whole application as a Scala Play web app. Well, before seeing the demo, let's get our project up and running. However knowing some basic of RESTful architecture using Scala Play would be helpful.

Why RESTful architecture?

Well, Play’s architecture is RESTful by default. At its core, Play is based on the Model-View-Controller pattern. Each entry point, paired with an HTTP verb, maps to a Controller function. The controller enables views to be web pages, JSON, XML, or just about anything else.

Play’s stateless architecture enables horizontal scaling, ideal for serving many incoming requests without having to share resources (such as a session) between them. It is at the forefront of the Reactive programming trend, in which servers are event-based and parallel processing is used to cater to the ever-increasing demands of modern websites.

In certain...

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