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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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2.0K4 Big Data Challenges In Healthcare
It is indeed boom time for Big Data in Healthcare. According to CBE insights, Big Data startups garnered USD 400M in investors...
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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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2.5K4 Innovative Cloud Storage Solutions You Should Know About
As enterprises become more mobile, the workforce more global and organizations culture beocming friendlier towards BYOD, cloud slowly takes the seat at...
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2.2KSignal Extraction Methodology In Big Data (Deep Dive)
Let’s start with the principals, so what exactly is the signal , in plain English Signal is a pattern , so there...
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4.3KUnderstanding Dimensionality Reduction- Principal Component Analysis And Singular Value Decomposition
Every day IBM creates 2.5 quintillion bytes of data and most of the data generated are high dimensional. So it is necessary...
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2.6KCould Big Data Have Saved 10,000 Lives In Nepal?
While this is a serious and tragic issue and we do not want to make any attempt to trivialize the same, we...
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4.0KExploratory Data Analysis In Python Using Pandas, Matplotlib And Numpy
You already know that Pandas is a power tool for data munging. In this tutorial, I will show you how to explore...
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