Main Purpose
The main purpose of SAS Visual Data Mining and Machine Learning is to provide a comprehensive platform for data mining, machine learning, and predictive analytics.
Key Features
- Interactive Model Building: Users can build models interactively using pipelines and programming.
- Intelligent Automation: The platform offers automatic pipeline generation and feature engineering for data cleansing, transformation, and feature selection.
- Natural Language Generation and Interpretability Plots: Users can utilize natural language generation and interpretability plots to understand their models.
- Embedded Support for Python and R: SAS Visual Data Mining and Machine Learning provides embedded support for Python and R languages.
- Highly Scalable and Distributed In-Memory Processing: The platform offers highly scalable and distributed in-memory analytical processing.
Use Case
- Data Mining and Predictive Analytics: SAS Visual Data Mining and Machine Learning is designed for organizations and data scientists who want to perform data mining, predictive analytics, and machine learning tasks.
- Model Building and Automation: The platform is suitable for users who want to build models interactively or through programming and leverage intelligent automation for data preprocessing and feature engineering.
- Model Interpretability: Users who need to understand and interpret their models can benefit from the natural language generation and interpretability plots features.
