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Big Data Analytics with Java

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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (15) Chapters

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

Deeplearning4j

This is a Java library that is used to build different types of neural networks. It can be easily integrated with Apache Spark on the big data stack and can even run on GPUs. It is the only main Java library out there currently that has a lot of built-in algorithms focusing on deep learning. It also has a very good online community and good documentation, which can be checked on its website at https://deeplearning4j.org.

There are lots of submodules within this Java library and we need some of those sub modules for running our machine learning algorithms. To check out more detail and running samples within Deeplearning4j, please refer to their documentation. We will not cover Deeplearning4j API in this book, please refer to https://deeplearning4j.org for more information on its documentation.

In order to generate the curiosity of the reader as to what all can be accomplished with deep learning we will end the chapter with another simple sample case study of hand written digit...

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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