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2.1KOld Statistics: Is It What We Are Talking About?
In my last post, I wrote about learning statistics for data science . In this post, I want to talk about mathematics...
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2.0KStereotypes In The Age Of Big Data
There are some phenomena that claimed to help people and nations getting closer to each other including the Olympic Games and the...
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3.0KBIG Isn’t Big Anymore!
Technology looses appreciation, as it becomes obsolete. Well in reality this behavior is not just limited to technology and is a relatively...
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3.4KBig Data In Financial Services
The Big Data in Spain is starting to demonstrate their capabilities to cope solutions that previously required expensive products and designs. Specifically,...
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2.1KBig Data: Changing The E-Market As We Know It
The world that we know today witnessed a complete shift-over in every aspect of web usage, in the last decade or two....
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3.1KBig Data And Big Brother: Do You Care To Be Watched?
George Orwell had not the chance to live in big data age. However, in his dystopian novel 1984, he could show clearly...
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12.2KLearn to Implement Data Science Using Python, HADOOP & SAP HANA
Learn to Lead Big Data Analysis Learn Beyond Concepts and Sandbox Environment. ___________________________________________________________________ Let’s Set Expectations: Following diagram explains our “customer analytics-data...
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2.1KApplied Mathematics Role In Data Science
Data Science has opportunities, challenges and potential future strategies for mathematics within it, and the added value that the mathematical sciences can...
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2.1KHadoop’s Speculative Execution at glance
This is one of the great features added in a MapReduce framework to make tasks independent of each other. Its framework/hadoop that...
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2.7KBest Practices In Designing Dashboards And Scorecards
One of the important thing would be, communicate the results of the visual patterns that you discover. What are the four kind...
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