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Big Data Analytics with Java

You're reading from   Big Data Analytics with Java Data analysis, visualization & machine learning techniques

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Length 418 pages
Edition 1st Edition
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Author (1):
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RAJAT MEHTA RAJAT MEHTA
Author Profile Icon RAJAT MEHTA
RAJAT MEHTA
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Table of Contents (15) Chapters Close

Preface 1. Big Data Analytics with Java 2. First Steps in Data Analysis FREE CHAPTER 3. Data Visualization 4. Basics of Machine Learning 5. Regression on Big Data 6. Naive Bayes and Sentiment Analysis 7. Decision Trees 8. Ensembling on Big Data 9. Recommendation Systems 10. Clustering and Customer Segmentation on Big Data 11. Massive Graphs on Big Data 12. Real-Time Analytics on Big Data 13. Deep Learning Using Big Data Index

What you need for this book

There are a few things you will require to follow the examples in this book: a text editor (I use Sublime Text), internet access, admin rights to your machine to install applications and download sample code, and an IDE (I use Eclipse and IntelliJ).

You will also need other software such as Java, Maven, Apache Spark, Spark modules, the GraphFrames library, and the JFreeChart library. We mention the required software in the respective chapters.

You also need a good computer with a good RAM size, or you can also run the samples on Amazon AWS.

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