Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

Spark for Data Science

Bikramaditya Singhal, Srinivas Duvvuri

1 customer reviews
Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0
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Book Details

ISBN 139781785885655
Paperback344 pages

Book Description

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.

Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.

With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.

Table of Contents

What You Will Learn

  • Consolidate, clean, and transform your data acquired from various data sources
  • Perform statistical analysis of data to find hidden insights
  • Explore graphical techniques to see what your data looks like
  • Use machine learning techniques to build predictive models
  • Build scalable data products and solutions
  • Start programming using the RDD, DataFrame and Dataset APIs
  • Become an expert by improving your data analytical skills

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Table of Contents

Book Details

ISBN 139781785885655
Paperback344 pages
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