Apache Spark for Data Science Cookbook

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark

Apache Spark for Data Science Cookbook

Padma Priya Chitturi

Over insightful 90 recipes to get lightning-fast analytics with Apache Spark
eBook
$10.00
RRP $35.99
Save 72%
Print + eBook
$44.99
RRP $44.99
What do I get with a Mapt subscription?
  • Unlimited access to all Packt’s 6,000+ eBooks and Videos
  • 100+ new titles a month, learning paths, assessments & code files
  • 1 Free eBook or Video to download and keep every month after trial
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the subscription reader
$10.00
$44.99
RRP $35.99
RRP $44.99
eBook
Print + eBook

Frequently bought together


Apache Spark for Data Science Cookbook Book Cover
Apache Spark for Data Science Cookbook
$ 35.99
$ 10.00
Mastering Spark for Data Science Book Cover
Mastering Spark for Data Science
$ 43.99
$ 10.00
Buy 2 for $20.00
Save $59.98
Add to Cart

Book Details

ISBN 139781785880100
Paperback392 pages

Book Description

Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease.

This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.

Table of Contents

What You Will Learn

  • Explore the topics of data mining, text mining, Natural Language Processing, information retrieval, and machine learning.
  • Solve real-world analytical problems with large data sets.
  • Address data science challenges with analytical tools on a distributed system like Spark (apt for iterative algorithms), which offers in-memory processing and more flexibility for data analysis at scale.
  • Get hands-on experience with algorithms like Classification, regression, and recommendation on real datasets using Spark MLLib package.
  • Learn about numerical and scientific computing using NumPy and SciPy on Spark.
  • Use Predictive Model Markup Language (PMML) in Spark for statistical data mining models.

Authors

Table of Contents

Book Details

ISBN 139781785880100
Paperback392 pages
Read More

Read More Reviews

These popular $10 titles might interest you

Mastering Spark for Data Science Book Cover
Mastering Spark for Data Science
$ 43.99
$ 10.00
Learning PySpark Book Cover
Learning PySpark
$ 35.99
$ 10.00
Apache Spark 2.x Cookbook Book Cover
Apache Spark 2.x Cookbook
$ 39.99
$ 10.00
Mastering Apache Spark 2.x - Second Edition Book Cover
Mastering Apache Spark 2.x - Second Edition
$ 39.99
$ 10.00
Scala: Guide for Data Science Professionals Book Cover
Scala: Guide for Data Science Professionals
$ 71.99
$ 10.00
Spark for Data Science Book Cover
Spark for Data Science
$ 39.99
$ 10.00