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Scala Machine Learning Projects

You're reading from   Scala Machine Learning Projects Build real-world machine learning and deep learning projects with Scala

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Length 470 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (17) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Analyzing Insurance Severity Claims 2. Analyzing and Predicting Telecommunication Churn FREE CHAPTER 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 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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