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.
Big Data is one answer to measuring the progress of sustainability. Here's a brief look at how Big Data can help in achieving sustainability.
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.
With the Covid-19 recession taking place, restaurants need to look for ways to get back up. Can restaurants use Big Data to recover from the Covid-19 recession, and how can restaurants use Big Data?
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.
Your free special webinar guest invitation: How to avoid the worst big data failures