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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

Summary


Overall, while the path to big data and data science success may seem arduous, hopefully the preceding chapters have provided a comprehensive overview of various topics in big data. We discussed data mining and machine learning, learned about the various tools and technologies in the respective disciplines, and developed applications on real-world data and provided parting thoughts on the nuances of organizational big data and data science initiatives.

The next few pages list some links to resources that the reader may find useful for learning more about the respective subject areas.

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