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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 (13) Chapters Close

Preface 1. Analyzing Insurance Severity Claims FREE CHAPTER 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 12. Other Books You May Enjoy

Configuring programming environment

In this section, we describe how to configure our programming environment so that we can interoperate with Spark, H2O, and Adam. Note that using H2O on a laptop or desktop is quite resource intensive. Therefore, make sure that your laptop has at least 16 GB of RAM and enough storage.

Anyway, I am going to make this project a Maven project on Eclipse. However, you can try to define the same dependencies in SBT too. Let us define the properties tag on a pom.xml file for a Maven-friendly project:

<properties>
<spark.version>2.2.1</spark.version>
<scala.version>2.11.12</scala.version>
<h2o.version>3.16.0.2</h2o.version>
<sparklingwater.version>2.2.6</sparklingwater.version>
<adam.version>0.23.0</adam.version>
</properties>

Then we can the latest version of...

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