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SAS® Machine Learning
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SAS® Machine Learning
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Combining data preparation, feature engineering, modern statistical and machine learning techniques in a single, scalable in-memory processing environment to develop, test and deploy models. SAS Machine Learning on SAS® Cloud supports the entire machine learning process.
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Key Features of SAS Machine Learning
- Support for data scientists who prefer accessing the SAS® Viya® platform through a programming interface using either the SAS or Python programming languages.
- Algorithms that take advantage of ubiquitous parallel computing architectures for fast, accurate results.
- Advanced optimization techniques to adjust large combinations of hyperparameter settings and return the optimal set automatically for the data scientist.
- Gradient boosting with automated iterative search for optimal partitioning of data, automated generation of weighted averages and stopping criteria.
- Factorization machines that apply full pairwise tensor factorization and are enabled for warm restarts to update the model with new transactions without a full retrain.
- SAS Deep Learning actions, which are cloud-enabled SAS CAS actions released with SAS Viya 3.4. The actions are delivered as part of SAS Machine Learning.
- Code snippets for quickly inserting SAS code into your program and customizing it to meet your needs. Create your own snippets and add snippets to your list of favorites.
- Ability to have data scientists with varied programmatic skill sets contribute, taking advantage of existing personnel knowledge with a native interface to Python and the SAS programming language.
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Training Courses
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Learn SAS technology quickly and efficiently by taking a course from the analytics experts.
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Big Data, Data Mining and Machine Learning
Learn concepts of analytical computing and data mining, including predictive modeling, deep learning and open source integration. This course covers the key elements of modern computing environments, an introduction to data mining algorithms, segmentation, data mining methodology, recommendation engines and text mining.
SAS Visual Data Mining and Machine Learning on SAS Viya: Interactive Machine Learning
Gain a theoretical foundation for SAS Visual Data Mining and Machine Learning, as well as hands-on experience using the tool through the SAS Visual Analytics interface. The course uses an interactive approach to teach visualization, model assessment and model deployment.
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Documentation
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Find user's guides and other technical documentation for SAS Machine Learning.
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SAS Machine Learning Blogs & Communities
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Featured Blogs
- Emerging Economics: Token Pricing and the Case for Local Inference
- Modern Retrieval Approaches: RAG, Knowledge Graphs, and PageIndex
- The clinical data foundation wasn’t designed for the AI era
- Building a healthcare digital twin for operations and AI innovation
- Building a vehicle routing problem app on SAS Viya with Claude as the developer in the loop
Featured Community Topics
- Free Webinar: Getting Started With SAS® Visual Data Mining and Machine Learning
- Prediction After Random Forest
- Association node error message ‘there are no rules that match the specified constraints’
- SAS Viya 4 - SAS Visual Text Analytics - tpParse and tpSpell using dictTable as spell checker
- Random Forest Overfitting