"Data science is a concept to unify statistics, data analysis, machine learning, and their related methods in order to understand and analyze actual phenomena with data." - https://en.wikipedia.org/wiki/Data_science
Exasol provides you with the functionality to do data science and machine learning using UDF Scripts with support for common data science and machine learning libraries in Python, R, and Java shipped by default. If your favorite library is not available by default, you can extend any of our script language container flavors with additional libraries. For more information, see Adding New Packages to Existing Script Languages. If there is enough interest in certain libraries, we might integrate them by default in a future release.
We provide tutorials and examples of how you can implement your data science and machine learning workflows in the following GitHub repository as Jupyter Notebooks. We typically orchestrate the workflows using Exasol interfaces, such as pyexasol, r-exasol or JDBC, so that we can combine data science and machine learning within the Exasol Database with external machine learning tools.
