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SAS Visual Data Mining & Machine Learning

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Experience powerful data mining and machine learning capabilities with SAS Visual Data Mining & ML software.
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SAS Visual Data Mining & Machine Learning: Streamlined Analytics Solution

SAS Visual Data Mining & Machine Learning is a comprehensive and collaborative tool designed to simplify and optimize complex analytical processes. With its integrated environment and automated modeling API, this tool enables seamless collaboration across your organization, from data management to model development and deployment.

Key Features:

Automated Insights

  • Automated Insights Generation: SAS Visual Data Mining & Machine Learning automatically generates insights, providing a deep understanding of common variables across models, important variables selected across models, and assessment results. The Natural Language Generation capability translates these insights into simple language project summaries for easy interpretation.
  • Collaborative Environment: Enhance communication and collaboration among team members by adding project notes to insights reports.

Empower Users with Language Options

  • Embed Open Source Code: Even if you don't know SAS code, you can still utilize open source code within your analysis, call open source algorithms within a pipeline, and access those models from a common repository. This promotes collaboration as users can work in their preferred language.
  • Python Integration: Take advantage of SAS Deep Learning with Python (DLPy), an open-source package on GitHub, to use Python within Jupyter notebooks. DLPy provides high-level APIs for deep learning functionalities, including computer vision, natural language processing, forecasting, and speech processing. It also supports the Open Neural Network Exchange (ONNX) for easy model movement between frameworks.

Optimize Solutions Efficiently

  • Massive Parallel Processing: SAS Visual Data Mining & Machine Learning delivers superior performance with its massive parallel processing capability. It offers feature-rich building blocks for machine learning pipelines, allowing you to explore and compare multiple approaches rapidly.
  • Machine Learning Algorithms: The tool provides a wide range of machine learning algorithms, such as decision trees, random forests, gradient boosting, neural networks, support vector machines, and factorization machines. The ability to select preferences and fine-tune models using complex local search optimization routines ensures optimal parameter settings.
  • Unstructured and Structured Data: Integrated machine learning programs enable you to combine unstructured and structured data, extracting valuable insights from various data types.
  • Reproducibility: Every stage of the analytics life cycle ensures reproducibility, delivering trustworthy answers and insights.

Boost Analytical Team Productivity

  • Collaborative Environment: Data scientists, business analysts, and analytics professionals can work collaboratively in a single environment that supports the entire machine learning pipeline. Access, prepare data, perform exploratory analysis, build and compare machine learning models, create predictive model score code, and deploy models, all with a single click.

Reduce Latency between Data and Decisions

  • Business-Friendly Annotations: Business-friendly annotations within each node provide clear descriptions of the methods being run and offer information about the methods, results, and interpretation, helping reduce the time between data analysis and decision-making.

Interpret Models with Simple Language

  • Interpretability Reports: Standard interpretability reports are available in all modeling nodes, including LIME, ICE, Kernel SHAP, PD heatmaps, and more. These reports are generated using natural language generation, offering explanations in simple language that are easy to understand.

Free Trial:

  • A free, 14-day trial of SAS Viya, which includes SAS Visual Data Mining & Machine Learning and capabilities for the entire analytics life cycle, is available for users to explore the tool's capabilities.

Use Cases: SAS Visual Data Mining & Machine Learning is ideal for organizations seeking to simplify and streamline their complex analytics processes. It empowers analytics teams to collaborate effectively, generate automated insights, and find optimal solutions using a variety of machine learning algorithms.

Ready to supercharge your analytics? Give SAS Visual Data Mining & Machine Learning a try with a free 14-day trial of SAS Viya. Experience the power of seamless collaboration, automated insights, and efficient optimization in your analytical journey.

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