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.
Sports management often relied on gut feelings and assumptions. Using Big Data Science changed that. We show how.
Global healthcare systems are challenged by high costs and pandemics. We look into the opportunities that Big Data Science offers for the healthcare industry.
Controlling Covid-19 can help a country recover from the Coronavirus and avoid a second wave. Such control can be calculated. We present a Data Science based country ranking.
Business capabilities and opportunities result from these Big Data Landscape maturity levels of an enterprise. We describe what they are and how they matter.
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.
Your free special webinar guest invitation: How to avoid the worst big data failures