Data Visualization 101: 4 Tips To Convert Data To Information Quickly
Data science is all about extracting the information from the data gathered. As data has become one of the essential entities in today’s world, it drives substanti...
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How to Pick a Winning March Madness Bracket
by Robert Robison, Data Analyst, Elder Research In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association. ...
Why Economics Is the Most Empowering Innovation Concept
I am a believer that the pathway to innovation must end with putting a product or service into the market that provides economic value to customers, economics the branch ...
Introduction to Numpy – A Math Library for Python
This article was written by Vasudev. Lets get started quickly. Numpy is a math library for python. It enables us to do computation efficiently and effectively. It is bett...
Different Probability Distributions in One Picture
Data science uses many different probability distributions, but some are used more than others. This one picture shows an overview of five probability distributions data ...
Be Forewarned CEO’s; Build Out Your Data Science Capabilities or Perish
We all know how horror movies work: there is someone evil in the neighborhood (like Michael Myers in “Halloween” or Freddy Krueger in “Nightmare on Elm Street” or...
How you can explain Machine Learning models ?
Machine Learning (ML) models are increasingly being used to augment human decision making process in domains such as finance, telecommunication, healthcare, and others. I...
Augmented Analytics Engine
Role of Augmented Analytics in Future !! Insight generation is changing (and That’s a Good Thing) Have you ever been in situation when you need quick insight generati...
Data Scientists against Disease – new LinkedIn group & GitHub
#Coronavirus: The world sees a new disease which might become a global pandemic. It depends on how we act now. But how should we act? Maybe #Datascience can help. But we ...
Let's talk about Filters in Computer Vision(with Images), what are they and how they work in easy way.
Filters are the key thing in Computer Vision(Processing image data). You would have probably used different kinds of filters like the blur filter, vintage filters, etc ...