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Java Data Analysis
Java Data Analysis

Java Data Analysis: Data mining, big data analysis, NoSQL, and data visualization

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Profile Icon John R. Hubbard
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$30.79 $43.99
eBook Sep 2017 412 pages 1st Edition
eBook
$30.79 $43.99
Paperback
$54.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon John R. Hubbard
Arrow right icon
$30.79 $43.99
eBook Sep 2017 412 pages 1st Edition
eBook
$30.79 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$30.79 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m

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Java Data Analysis

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Key benefits

  • Get your basics right for data analysis with Java and make sense of your data through effective visualizations.
  • Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning.
  • This is your companion to understanding and implementing a solid data analysis solution using Java

Description

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.

Who is this book for?

If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required.

What you will learn

  • Develop Java programs that analyze data sets of nearly any size, including text
  • Implement important machine learning algorithms such as regression, classification, and clustering
  • Interface with and apply standard open source Java libraries and APIs to analyze and visualize data
  • Process data from both relational and non-relational databases and from time-series data
  • Employ Java tools to visualize data in various forms
  • Understand multimedia data analysis algorithms and implement them in Java.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 19, 2017
Length: 412 pages
Edition : 1st
Language : English
ISBN-13 : 9781787286405
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Product Details

Publication date : Sep 19, 2017
Length: 412 pages
Edition : 1st
Language : English
ISBN-13 : 9781787286405
Category :
Languages :
Concepts :

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Frequently bought together


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Total $ 204.97
Big Data Analytics with Java
$54.99
Java Data Analysis
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Machine Learning: End-to-End guide for Java developers
$94.99
Total $ 204.97 Stars icon

Table of Contents

13 Chapters
1. Introduction to Data Analysis Chevron down icon Chevron up icon
2. Data Preprocessing Chevron down icon Chevron up icon
3. Data Visualization Chevron down icon Chevron up icon
4. Statistics Chevron down icon Chevron up icon
5. Relational Databases Chevron down icon Chevron up icon
6. Regression Analysis Chevron down icon Chevron up icon
7. Classification Analysis Chevron down icon Chevron up icon
8. Cluster Analysis Chevron down icon Chevron up icon
9. Recommender Systems Chevron down icon Chevron up icon
10. NoSQL Databases Chevron down icon Chevron up icon
11. Big Data Analysis with Java Chevron down icon Chevron up icon
A. Java Tools Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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