In this article, we will discuss what Complex Event Processing is and how it is used in Big Data stream processing for any applications related to Big Data.
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.
Data nowadays are moving at an unprecedented speed
Data is now more than just a simple array of binary numbers in a computer system.
Does hyper-personalisation mean personalisation getting hyper from caffeine? We take a very brief look at what it is and why it's necessary.
Online learning is an approach used in Machine Learning that ingests sample of real-time data one observation at a time.
We spoke to Jon Bratseth, data architect of Verizon Media and Vespa.ai, about Big Data maturity and serving.
We compare Random Forests, Support Vector Machines and Neural Networks by discussing their way of operation on a high level.
Classification and Regression with Support Vector Machines (SVM) and Support Vector Regression (SVR) are important Data Science techniques. We explain how they work.
Time Series Analysis in Stock trading
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.
There are several opportunities for Big Data in the gaming industry. In this article, we're looking at the most important use cases for Big Data in gaming.