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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
Languages
Concepts
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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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Toc

Table of Contents (15) Chapters Close

Preface 1. Big Data Analytics with Java FREE CHAPTER 2. First Steps in Data Analysis 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

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

A block of code is set as follows:

Dataset<Row> rowDS = spark.read().csv("data/loan_train.csv");
rowDS.createOrReplaceTempView("loans");
Dataset<Row> loanAmtDS = spark.sql("select _c6 from loans");

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

Dataset<Row>data = spark.read().csv("data/heart_disease_data.csv");
    System.out.println("Number of Rows -->" + data.count());

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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