In data science, we talk about regression, classification, and prediction. This type of computing needs huge resources to perform data science tasks.
Data science-based cloud is one solution to address resource issues. You can optimize resources to perform classification and prediction. A high availability feature is usually offered by cloud providers.
Companies such as Microsoft, Amazon, and Google have already implemented data science servers. We can use R or Python to write programs for data science. They will take care of pre- and post-processing on our sensor data.
An example of a cloud-based machine-learning dashboard can be seen in the following screenshot. This is a Microsoft Azure machine-learning dashboard:
