Which languages are supported by Oracle Machine Learning?

Oracle Machine Learning supports a range of programming languages to provide flexibility and facilitate various data analysis and machine learning tasks. By offering support for Python and R, Oracle Machine Learning enables users to leverage the extensive libraries and tools available in those languages, which are widely used in the data science community.

Python is particularly favored for its simplicity and the rich ecosystem of libraries for data manipulation, analysis, and machine learning, such as Pandas, NumPy, and Scikit-learn. R, on the other hand, is renowned for its statistical analysis capabilities and has numerous packages that cater specifically to data analysis and visualization.

The inclusion of Java as a supported language further enhances the utility of Oracle Machine Learning, as Java is commonly used in enterprise applications and can efficiently handle large-scale data processing. Therefore, the correct choice reflects that all of these languages—Python, R, and Java—are integral to the functionality of Oracle Machine Learning, allowing for diverse approaches in data analytics and machine learning solutions. This holistic support for multiple languages ensures that practitioners from varied backgrounds can effectively utilize Oracle’s capabilities in their work.