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Practical Big Data Analytics

You're reading from  Practical Big Data Analytics

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781783554393
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Nataraj Dasgupta Nataraj Dasgupta
Profile icon Nataraj Dasgupta

Table of Contents (16) Chapters

Title Page
Packt Upsell
Contributors
Preface
Too Big or Not Too Big Big Data Mining for the Masses The Analytics Toolkit Big Data With Hadoop Big Data Mining with NoSQL Spark for Big Data Analytics An Introduction to Machine Learning Concepts Machine Learning Deep Dive Enterprise Data Science Closing Thoughts on Big Data External Data Science Resources Other Books You May Enjoy

Components of the Analytics Toolkit


This book will utilize several key technologies that are used for big data mining and more generally data science. Our Analytics Toolkit consists of Hadoop and Spark, which can be installed both locally on the user's machine as well as on the cloud; and it has R and Python, both of which can be installed on the user's machine as well as on a cloud platform. Your Analytics Toolkit will consist of:

Software/platform

Used for data mining

Used for machine learning

Hadoop

X

Spark

X

X

Redis

X

MongoDB

X

Open Source R

X

X

Python (Anaconda)

X

X

Vowpal Wabbit

X

LIBSVM, LIBLINEAR

X

H2O

X

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