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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

The human factor


The significant advantages of big data and data science notwithstanding, their successes and breakthrough growth, it is still important to bear in mind that the element of human thinking is essential in all endeavors.

Big data technologies will allow us to analyze data more efficiently. But we still need to use proper judgment to decide on our ideal use cases. This is not trivial. Large companies find initiatives just as challenging (although at a higher scale) as seasoned big data professionals.

Similarly, data science and machine learning can empower us to make predictions and gain foresight with the help of sophisticated algorithms and code. However, it is still incumbent upon the user to evaluate the results and make decisions not solely based on the predicted output. Users should apply common sense and experience in making such assessments. If the GPS instructs the driver to go on a certain road on a snowy winter night and the driver knows that the road won't have been...

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