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SAS Visual Data Mining and Machine Learning (VDMML): Getting Started - Ask the Expert Q&A

by SAS Employee MelodieRush 2 weeks ago (704 Views)

Did you miss the Ask the Expert session on SAS Visual Data Mining and Machine Learning? Not to worry, you can catch it on-demand at your leisure.




Watch the webinar


Innovative algorithms and fast, in-memory processing. That's what you get with SAS Visual Data Mining and Machine Learning.

Designed for data scientists, statisticians and business analysts, it offers advanced programming capabilities coupled with point-and-click ease.



Watch this presentation and demo as we explore:

  • New algorithms - factorization machines and random forests.
  • Creating models - neural network and gradient boosting (including auto tuning).
  • Comparing models - multiple criterion such as lift, ROC and misclassification.
  • Interfaces - Interactive features, programming capabilities and integration to open source.

Here are some highlighted questions from the Q&A segment held at the end of the session.


Q: Does SAS Visual Statistics come with SAS Visual Data Mining and Machine Learning?
A: As part of the VIYA platform when you license SAS Visual Data Mining and Machine Learning you also have SAS Visual Analytics and SAS Visual Statistics

Q: Can I add SAS Visual Data Mining and Machine learning to my current SAS install
A: SAS Visual Data Mining and Machine Learning is a part of the new VIYA platform. SAS VIYA and SAS 9.4 can be integrated and interact with each other and they are a separate installation and configuration.

Q: Is it possible to download this data?
A: This data is available with SAS Enterprise Miner as a sample dataset. You can find it in the SAMPSIO library.

Q: Is autotuning available in the Visual Interface?
A: In the current version of SAS VDMML 8.1 autotuning is available through programming in SAS VIYA or Jupyter Notebooks or through the task in SAS Studio.

Q: Is there integration with R?
A: Yes, Python, Java, R and Lua are supported. You can call SAS VDMML 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.

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