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Practical Big Data Analytics

You're reading from   Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Too Big or Not Too Big FREE CHAPTER 2. Big Data Mining for the Masses 3. The Analytics Toolkit 4. Big Data With Hadoop 5. Big Data Mining with NoSQL 6. Spark for Big Data Analytics 7. An Introduction to Machine Learning Concepts 8. Machine Learning Deep Dive 9. Enterprise Data Science 10. Closing Thoughts on Big Data 11. External Data Science Resources 12. Other Books You May Enjoy

Installing Packt Data Science Box

We have also created a separate virtual machine for some of the exercises in the book.

Download the Packt Data Science Virtual Machine Vagrant files from https://gitlab.com/packt_public/vm.

To load the VM, first download Vagrant from https://www.vagrantup.com/downloads.html.

Download page for Vagrant

Once you have completed the download, install Vagrant by running the downloaded Vagrant installation file. Once the installation completes, you'll get a prompt to restart the machine. Restart your system and then proceed to the next step of loading the vagrant file:

Completing the Vagrant Installation

Click confirm on the final step to restart:

Restarting System

In the terminal or command prompt, go to the directory where you have downloaded the Packt Data Science Vagrant files and run the following commands (shown in Windows):

$ vagrant box...
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