SAS Visual Data Mining and Machine Learning 8.5.
What’s New
- A public API for automated modeling for end-to-end model development and deployment is available by simply choosing the automation option, or you can use this API to build and deploy your own custom predictive modeling applications. See examples at developer.sas.com.
- Two new nodes, the Feature Machine node and the Model Composer node, were added. The Feature Machine node enables you to automatically cleanse, transform, and select features for models. The Model Composer node enables you to automatically select the best model across multiple techniques.
- A new interpretability report, Kernel SHAP, is now available.
- You can use machine learning to identify cases to label and develop a smart system or agent for process-based modeling by using Batch Reinforcement Learning.
- The new SPARSEML procedure has been developed specifically for analyzing sparse data formats.
Get Started
Ready to create powerful data mining and machine learning models? These resources are a good place to start.
Learn the basics
Learn how to get started with SAS Visual Data Mining and Machine Learning by accessing these tutorials:
Stay connected
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Tutorials
Browse our library of free SAS Visual Data Mining and Machine Learning tutorials to learn something new or sharpen your skills.
Managing Data & Variables
Working with Pipelines
Machine Learning Pipeline Automation (MLPA)
Using Templates
Inserting Custom Code
Integrating with Other SAS Products
Deep Learning
- Overview of SAS Deep Learning Python (DLPy) (video)
- Using Image Classification with Convolutional Neural Networks (video)
- Using Image Classification
- Using Object Detection With Tiny YOLOv2 Model (video)
- Importing and Exporting Deep Learning Models With ONNX (video)
- Using Text Classification and Text Generation Text With Recurrent Neural Networks (video)
- Using Text Sentiment Analysis
- Time Series Forecasting With Recurrent Neural Networks (video)
- Deep Learning Programming Examples
Training Courses
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SAS Visual Data Mining and Machine Learning Blogs & Communities
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