Authors
Richard M. Reese
Jennifer L. Reese
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Copy Editors
Vikrant Phadkay
Safis Editing
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Reviewers
Walter Molina
Shilpi Saxena
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Project Coordinator
Nidhi Joshi
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Commissioning Editor
Veena Pagare
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Proofreader
Safis Editing
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Acquisition Editor
Tushar Gupta
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Indexer
Aishwarya Gangawane
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Content Development Editor
Aishwarya Pandere
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Graphics
Disha Haria
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Technical Editor
Suwarna Patil
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Production Coordinator
Nilesh Mohite
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Java for Data Science
By :
Java for Data Science
By:
Overview of this book
para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Free Chapter
Getting Started with Data Science
Data Acquisition
Data Cleaning
Data Visualization
Statistical Data Analysis Techniques
Machine Learning
Neural Networks
Deep Learning
Text Analysis
Visual and Audio Analysis
Mathematical and Parallel Techniques for Data Analysis
Customer Reviews