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Apache Spark for Data Science Cookbook

You're reading from Apache Spark for Data Science Cookbook Solve real-world analytical problems

Product type Paperback

Published in Dec 2016

Publisher

ISBN-13 9781785880100

Length 392 pages

Edition 1st Edition

Tools

Apache Spark

Concepts

Data Science

Authors (2):

Padma Priya Chitturi

Nagamallikarjuna Inelu

View More author details

Table of Contents (11) Chapters

Preface

1. Big Data Analytics with Spark

2. Tricky Statistics with Spark FREE CHAPTER

3. Data Analysis with Spark

4. Clustering, Classification, and Regression

5. Working with Spark MLlib

6. NLP with Spark

7. Working with Sparkling Water - H2O

8. Data Visualization with Spark

9. Deep Learning on Spark

10. Working with SparkR

Who this book is for

This book is intended for entry-level to intermediate data scientists, data analysts, engineers and practitioners who want to get acquainted with solving numerous data science problems using a distributed computing framework like Spark. The readers are expected to have knowledge on statistics, data science tools like R, Pandas and understanding on distributed systems (some exposure to Hadoop).

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Authors (2)

Chitturi

Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.

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Nagamallikarjuna Inelu

Nagamallikarjuna Inelu

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