Doing Python Math Operations With Numpy (Part III)
In my previous post, I explored how to use Pandas to work with data frames and similar structures. In this post, I want to go to the next level and discuss the magical op...
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When Average Is Not Good Enough – the Future of Data Science Jobs
Editorial Note: Ajit Jaokar’s contribution this week hits home a point that I think it very important. As with any job, it is the value that you bring as a problem ...
It’s Insights Monetization, Not Data Monetization
Okay, this is on me. I own it. My blog “Why Data Monetization is a Waste of Time” created quite a stir. I loved it. I’d like to take this “...
Information Communication Technology Ensures a Safe Social Media Ecosphere
Overview – Information Communication Technology (ICT) Information and Communication Technology (ICT) Essentially, technology may be described as an electrical mediu...
The Essential Role of Automation in End-User Computing
The world over, two pragmatic ideas are taking root. Businesses want employees to spend less time tinkering with their devices instead of being productive. They also want...
Data modernization: The key to tomorrow’s highly competitive insurance industry
One question haunts every CXO: How can we make our company and products better for the customer? The answer, today, is straightforward. Data is what makes and bre...
How Design Thinking Bookends Data Science
Hallelujah brother, I’ve seen the light! I’m a HUGE believer in the liberating mindset of Design Thinking. For example, Design Thinking not only makes Data Sc...
“All models are wrong, some are useful” ≠ Modeling is a futile exercise
The phrase All models are wrong, some are useful is quite loosely used. Some take it in a very literal sense to imply that Modeling is a futile exercise. ...
Why You Should Focus on EDiscovery to Ensure Growth for Your Firm?
E-Discovery is becoming the number one priority tool for seamless transition day by day. It has significant implications for retaining, storing, and managing the electron...
What is data governance?
Data governance is the process of managing the datas usability, security, availability, and integrity within an organization using internally set and enforced rules a...