Read the SAS Visual Data Mining and Machine Learning fact sheet.
SAS® Visual Data Mining and Machine Learning
An intuitive programming environment. Innovative algorithms. Fast, in-memory processing. SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight.
Get breakthrough performance from predictive modeling and machine-learning capabilities running on SAS® Viya™, our new in-memory platform. In-memory data persistence eliminates the need to load data multiple times during iterative analysis. Multiple users can collaborate easily, exploring the same raw data and building models simultaneously. You'll measure processing time for analytical modeling in seconds or minutes – not hours – and find solutions to challenging problems faster than ever.
Don't know SAS code? No problem. Your open source programming skills are all you need to experience the power of SAS advanced analytics. Whether you’re using a Python notebook, Java client or Lua scripting interface, you can call SAS Analytics using your preferred language in our world-class, governed environment. And using REST APIs, you can add the power of SAS Analytics to your custom applications.
The superior performance of the distributed analytical engine and feature-rich building blocks for your machine-learning pipeline enable you to explore and compare multiple scenarios quickly and easily. Automated tuning lets you test different scenarios in an integrated environment to identify the best-performing model and find accurate answers.
Data scientists and other analytical professionals will reap huge productivity gains from the solution's single, integrated in-memory environment. They can access and prepare data. Perform exploratory analysis. Build and compare machine-learning models. Create score code for implementing predictive models. And they can do all this faster than ever before.
A web-based programming environment provides intuitive graphical interfaces, enabling easy configuration of common machine-learning tasks. The associated SAS code is generated automatically for later batch runs and automation. Users can share data sources and code snippets in this environment, which fosters greater collaboration.
Watch Catherine Truxillo, Senior Manager of Analytical Education at SAS, demonstrate how SAS Visual Data Mining and Machine Learning can help you solve complex problems within a single, integrated, in-memory environment.
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