SAS Visual Data Mining & Machine Learning
SAS Visual Data Mining & Machine Learning
SAS Visual Data Mining and Machine Learning Solutions
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Tool Info
Rating: N/A (0 reviews)
Date Added: October 26, 2023
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Description
SAS Visual Data Mining & Machine Learning is an integrated, collaborative solution designed to make complex analytical problems easier to solve. It offers an automated modeling API that allows everyone in your organization to work in the same environment, from data management to model development and deployment. Key features include automated insights generation, a collaborative environment, language options, open source code embedding, Python integration, massive parallel processing, machine learning algorithms, support for unstructured and structured data, reproducibility, and more. This tool is ideal for organizations looking to simplify and streamline their analytics processes, enabling teams to collaborate, generate automated insights, and find optimal solutions. A free, 14-day trial of SAS Viya, which includes SAS Visual Data Mining & Machine Learning, is available for users to explore the tool's capabilities.
Key Features
- Automated Insights Generation: SAS Visual Data Mining & Machine Learning quickly identifies common variables, the most important variables, and assessment results across models. It also creates simple language project summaries for easy interpretation.
- Collaborative Environment: Team members can add notes to insights reports to facilitate communication and collaboration.
Use Cases
- Automated Insights Generation: Generate automated insights to identify common variables across models and assess results.
- Collaborative Environment: Enable team members to add project notes to insights reports for enhanced communication.
- Python Integration: Utilize Python within Jupyter notebooks with DLPy for deep learning functionalities.
- Optimize Solutions Efficiently: Leverage massive parallel processing and machine learning algorithms to find optimal parameter settings.
- Boost Analytical Team Productivity: Enable data scientists, business analysts, and analytics professionals to work in a single, collaborative environment.
