The Big Data Conference Europe 2020 was my first ever online conference. Read to learn about my experience.
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.
Does hyper-personalisation mean personalisation getting hyper from caffeine? We take a very brief look at what it is and why it's necessary.
The Covid-19 pandemic has led to an overwhelming number of hotel booking cancellations worldwide, but hotels are no strangers to suffering from this issue.
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
Which countries worldwide are currently showing significant improvements in their Covid-19 control progress? We take a look at the Coronavirus data analytics to identify and list down the top 9 Covid-19 recovering countries.
Big Time Series Data Applications crucial in enterprise digitization. Here, we discuss the 5 top known Time Series Applications as well as some use cases.
In this article, we utilized the Big Data analytics dashboard of Covid-19 data analysis to analyze and gain insight into possible air-travel reactivation zones and routes for an effective Covid-19 airline recovery program.
The airline industry faces an unprecedented challenge like never before. Let’s take a look at the […]