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Hi Data Mining Community,

 

I’m presenting a live “Ask the Expert” webinar on June 28, 1 - 2 p.m. ET on SAS® Visual Data Mining and Machine Learning: Getting Started. Please join me.

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.

 

Are there any other specific questions you’d like covered? Let me know by responding to this thread.

 

Register Now to join me for this webinar

 

Want more tips? Be sure to subscribe to the Ask the Expert board to receive follow up Q/A, slides and recordings from other SAS Ask the Expert webinars. To subscribe, select Subscribe from the Options drop down button above the articles.

 

Can't join the live event? You can view this and other Ask the Experts sessions on-demand here.

Catch the SAS Global Forum keynotes, announcements, and tech content!
sasglobalforum.com | #SASGF



1 ACCEPTED SOLUTION

Accepted Solutions
MelodieRush
SAS Employee

Slides, Q&A and recording posted here for the June 28, 2018 Session.

Catch the SAS Global Forum keynotes, announcements, and tech content!
sasglobalforum.com | #SASGF



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1 REPLY 1
MelodieRush
SAS Employee

Slides, Q&A and recording posted here for the June 28, 2018 Session.

Catch the SAS Global Forum keynotes, announcements, and tech content!
sasglobalforum.com | #SASGF



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How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

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