SAS® Viya Data Mining and Machine Learning

Man looking at SAS Viya Data Mining and Machine Learning on desktop monitor

 

 

 

Huge performance gains. Innovative algorithms.
One in-memory environment.

Solve complex business problems faster than ever with a single, intuitive programming environment, innovative algorithms and fast, in-memory processing. SAS Viya Data Mining and Machine Learning will shatter the barriers associated with data volume and variety, limited analytical depth and computational bottlenecks. And that means greater productivity and faster, deeper insight into your most intricate issues.

Viya Data Mining and Machine Learning screenshot of decision tree results with tasks and utilities dropdown menu and options pane shown on desktop monitor
Data Mining and Machine Learning Decision Tree Results with Tasks and Utilities Dropdown Menu and Options Pane

 

 

Solve complex analytical problems faster.

Get breakthrough performance from predictive modeling and machine learning capabilities running on SAS® Viya, our new in-memory architecture. With in-memory data persistence, there's no need to load data multiple times during iterative analysis. Multiple users can collaborate, 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 even the most challenging problems faster than ever.

Viya Data Mining and Machine Learning screenshot of autotune options and utilities pane shown on desktop monitor
Data Mining and Machine Learning Neural Network with AutoTune Options and Utilities Pane

 

 

Explore multiple approaches quickly to find the optimal solution.

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.

Viya Data Mining and Machine Learning screenshot of gradient boosting code with tasks and utilities pane and options menu pane shown on desktop monitor
Data Mining and Machine Learning Gradient Boosting Code with Tasks and Utilities Pane and Options Menu Pane

 

 

Boost data scientists' productivity.

Data scientists and other analytical professionals will reap huge productivity gains from the solutions single, integrated in-memory environment. They can access and prepare data. Perform exploratory analysis. Build and compare machine-learning models. And create score code for implementing predictive models. And they can do all this faster than ever before.  

 

 

 

Viya Data Mining and Machine Learning screenshot of factorization machine output with tasks and utilities dropdown menu and data preparation pane shown on desktop monitor
Data Mining and Machine Learning Factorization Machine Output with Tasks and Utilities Dropdown Menu and Data Preparation Pane

 

 

Use graphical interfaces for common machine-learning tasks.

Intuitive graphical interfaces are part of the web-based programming environment, 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, thus fostering greater collaboration.

Viya Data Mining and Machine Learning screenshot closeup of autotune options for neural net

 

Features

  • A flexible, web-based programming environment. SAS Studio provides a web-based interface for the most common machine-learning steps – from data prep to model building, assessment and scoring.
  • Highly scalable, in-memory analytical processing. Optimized for multipass analytical computations, the analytics processing engine provides a secure, multiuser environment for concurrent access to data in memory. 
  • Powerful data manipulation and management. The same distributed, in-memory environment is used for preparing data for analytics – accessing data, joining tables, subsetting and filtering data, and creating the final table for machine-learning projects.
  • Data exploration, feature engineering and dimension reduction. Descriptive statistics and powerful graphical programming let you find and fix data issues, quickly identify potential predictors, reduce large data set dimensions and easily create new features from original data.
  • Modern statistical, data mining and machine-learning techniques. The solution includes powerful unsupervised and supervised learning algorithms, such as clustering, principal component analysis, linear and nonlinear regression, logistic regression, decision trees, random forests, gradient boosting, neural networks and support vector machines.
  • Integrated text analytics. Integrated text analytics capabilities include powerful text preprocessing, natural language processing, topic detection and more.
  • Model assessment and scoring. Test different modeling approaches in a single run and compare results of multiple supervised learning algorithms with standardized tests to quickly identify champion models.
SAS Viya Data Mining & Machine Learning Demo Video

Demo

See SAS® Viya Data Mining and Machine Learning in action.

Watch Catherine Truxillo, Senior Manager of Analytical Education at SAS, demonstrate how SAS Viya Data Mining and Machine Learning can help you solve complex problems within a single, integrated, in-memory environment.

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SAS Viya

 

This solution runs on SAS Viya, a modern, open platform with the breadth and depth to conquer any analytics challenge. As a unified, cloud-ready environment , SAS Viya serves everyone – from data scientists to business analysts, application developers to executives – with the reliable, scalable, secure analytics management and governance essential for agile IT. And the performance you've come to expect from SAS – the world leader in analytics.

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