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Machine Learning in Java

You're reading from   Machine Learning in Java Helpful techniques to design, build, and deploy powerful machine learning applications in Java

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788474399
Length 300 pages
Edition 2nd Edition
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Bostjan Kaluza Bostjan Kaluza
Author Profile Icon Bostjan Kaluza
Bostjan Kaluza
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Toc

Table of Contents (13) Chapters Close

Preface 1. Applied Machine Learning Quick Start FREE CHAPTER 2. Java Libraries and Platforms for Machine Learning 3. Basic Algorithms - Classification, Regression, and Clustering 4. Customer Relationship Prediction with Ensembles 5. Affinity Analysis 6. Recommendation Engines with Apache Mahout 7. Fraud and Anomaly Detection 8. Image Recognition with Deeplearning4j 9. Activity Recognition with Mobile Phone Sensors 10. Text Mining with Mallet - Topic Modeling and Spam Detection 11. What Is Next? 12. Other Books You May Enjoy

Web resources and competitions

In this section, we'll review where to find additional resources for learning, discussing, presenting, or sharpening our data science skills.

Datasets

One of the most well-known repositories of machine learning datasets is hosted by the University of California Irvine. The UCI repository contains over 300 datasets covering a wide variety of challenges, including poker, movies, wine quality, activity recognition, stocks, taxi service trajectories, advertisements, and many others. Each dataset is usually equipped with a research paper where the dataset was used, which can give you a hint on how to start and what the prediction baseline is.

The UCI machine-learning repository can be accessed...

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