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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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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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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

Summary

This chapter gave a brief introduction to the field of deep learning for developers. We started with how an artificial neural network mimics the working of our own nervous system. We showed the basic unit of this artificial neural network, the perceptron. We showed how perceptrons can be used to depict logical functions and we later moved on to show their pitfalls. Later, we learnt how the perceptron's usage can be enhanced by making modifications to it, leading us to the artificial neuron, the sigmoid neuron. Further we also covered a sample case study for the classification of Iris flower species based on the features that were used to train our neural network. We also mentioned how the Java library Deeplearning4j includes many deep learning algorithms that can be integrated with Apache Spark on the Java big data stack. Finally, we provided readers with information on where they can find free resources to learn more.

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