We compare Random Forests, Support Vector Machines and Neural Networks by discussing their way of operation on a high level.
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.
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?