UPDATED: Q&A now available
Hi Data Mining Community,
I’m presenting a live “Ask the Expert” webinar on July 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:
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
Be sure to subscribe to the Data Mining Library to receive follow up Q/A, slides and other related resources from the webinar. From the Data Mining Library, just click Subscribe from the orange bar underneath the list of the recent articles.
Can't join the live event? You can view this and other Ask the Experts sessions on-demand here.
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Hi jf,
The links in Melodie's post to the resistration page for this session weren't working for some reason. I just updated the post with new links that should work. And here it is for easy reference:
https://www.sas.com/en_us/webinars/visual-data-mining-machine-learning/register.html
Anna
Melodie, When I click "register now", it always says" an unexpected error has occured". How can I register? Thanks.
Hi jf,
The links in Melodie's post to the resistration page for this session weren't working for some reason. I just updated the post with new links that should work. And here it is for easy reference:
https://www.sas.com/en_us/webinars/visual-data-mining-machine-learning/register.html
Anna
Thank you Anna!
Catch the SAS Global Forum keynotes, announcements, and tech content!
sasglobalforum.com | #SASGF
Thanks, registered.
Anna has updated the link for you. Thank you for letting us know! See you on Friday!
Catch the SAS Global Forum keynotes, announcements, and tech content!
sasglobalforum.com | #SASGF
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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