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.
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.
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.
The four horsemen represent the four levels of problems faced by Big Data-driven enterprises. We look at these problems and ways to solve them.
Classification and Regression with Support Vector Machines (SVM) and Support Vector Regression (SVR) are important Data Science techniques. We explain how they work.
We spoke to a Machine Learning expert to learn more about the Agile approach in data science.
Time Series Forecasting algorithms play a role in determining trends, forecasting, and sales. This makes time series analysis crucial for any organization.