4 Key Principles of Data Collection
In today’s data-driven world, companies across the globe are plunging into the humungous pool of online customer information that is made available through different mo...
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A simple way to understand the statistical foundations of data science
Introduction There are six broad questions which can be answered in data analysis according to an article called “What is the question?” By Jeffery T. Leek, Roger D. ...
Image-to-Image Translation with Conditional Adversarial Networks
This article was written by Berkeley AI Research (BAIR) Laboratory. Abstract We investigate conditional adversarial networks as a general-purpose solution to image-to-i...
Gross Underestimates and Overestimates from the Same Data: Covid-19 Death Rates Example
Ten-fold differences have been reported in Covid-19 death rates. Estimate issues are because of how the data is calculated. Why the same data can yield gross overestimate...
Software Development Trends 2021
Is it accurate to mention that you are simply checking out top software development trends in 2021? All things considered, you’re within the perfect spot! Here you&...
The Impact of Small Objects on Data Storage
Over the last decade or so, object storage use cases have evolved considerably as they replace traditional file and block use cases. Specifically the need to work with sm...
Essential Machine Learning Algorithms That Data Analysts Need To Know
AI is taking over. In 2021, we’re going to see machine learning taking on a bigger role in data analysis as algorithms become capable of reducing error and producing mo...
DSC Webinar Series: Data, Analytics and Decision-making: A Neuroscience POV
This special 30-minute interactive Data Science Central webinar includes a series of audience games and experiments that explore the relationship between people and data ...
How Prescriptive Analytics Is Changing The Face Of Every industry?
Prescriptive analytics is the most sophisticated type of business analytics and can bring the greatest intelligence and value to businesses. It aims at suggesting (prescr...
Why do you need trustable data?
Trustable data is defined as data that comes from reliable sources and used according to its intended and delivered in the appropriate formats and time frames for the spe...