As concerns about a Covid-19 winter arise, we compute the control scores of countries to analyse if they're likely to have a coronavirus free Christmas.
In this article, we discuss how Random Forest differs from Active Learning Random Forests, its comparison and how they can be used for Big Data analysis.
1 month of garbage produced exceeds the human body's average weight. Here are our findings for how Big Data can improve the efficiency of garbage collection.
Data is now more than just a simple array of binary numbers in a computer system.
Poverty is still a major problem worldwide. Can Big Data empower the poor to escape poverty?
There's an increasing need for student-centric education. We look at how Big Data meets this need.
Big Data Science investigations include first-party, second-party and third-party data sources. We explain how they contribute value to a company.
Does hyper-personalisation mean personalisation getting hyper from caffeine? We take a very brief look at what it is and why it's necessary.
Danske Bank's lead data scientist Vygantas Butkus told us how challenging Big Data-driven real estate pricing can get.
Online learning is an approach used in Machine Learning that ingests sample of real-time data one observation at a time.