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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 (21) Chapters Close

Big Data Analytics with Java
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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

Chapter 13. Deep Learning Using Big Data

In recent years, if there is something that has gained lot of traction and advancement in the field of computer science research it is deep learning. If you pick up any of the latest research papers, you will see that a lot of them are in fact in the field of deep learning only. Deep learning is a form of machine learning that sat idle for quite some time, until recently, when computations on multiple parallel computers became more advanced. The technology behind the self-driving car or an ATM recognizing a hand-written check is all done through deep learning in real life. So, what exactly is deep learning? We will cover the basic details of deep learning in this chapter. It is a form of machine learning that roughly mimics the working of a human brain using neural networks. Deep learning is a vast field and a growing one too, so this chapter should serve as a bare minimum for anyone trying to find a basic introduction on the topic. More advanced...

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