BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 PRODID:-//Events Calendar//iCal4j 1.0//EN BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo/America/New_York X-LIC-LOCATION:America/New_York X-PROLEPTIC-TZNAME:LMT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-045602 TZOFFSETTO:-0500 DTSTART:18831118T120358 END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19180331T020000 RRULE:FREQ=YEARLY;UNTIL=19200328T070000Z;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19181027T020000 RRULE:FREQ=YEARLY;UNTIL=19201031T060000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19210424T020000 RRULE:FREQ=YEARLY;UNTIL=19410427T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19210925T020000 RRULE:FREQ=YEARLY;UNTIL=19410928T060000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EWT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19420209T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EPT TZOFFSETFROM:-0400 TZOFFSETTO:-0400 DTSTART:19450814T190000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19450930T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19460428T020000 RRULE:FREQ=YEARLY;UNTIL=19730429T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19460929T020000 RRULE:FREQ=YEARLY;UNTIL=19540926T060000Z;BYMONTH=9;BYDAY=-1SU END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19551030T020000 RRULE:FREQ=YEARLY;UNTIL=20061029T060000Z;BYMONTH=10;BYDAY=-1SU END:STANDARD BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19740106T020000 RDATE:19750223T020000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19760425T020000 RRULE:FREQ=YEARLY;UNTIL=19860427T070000Z;BYMONTH=4;BYDAY=-1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19870405T020000 RRULE:FREQ=YEARLY;UNTIL=20060402T070000Z;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260421T134923Z DTSTART;TZID=America/New_York:20221109T093000 DTEND;TZID=America/New_York:20221109T110000 SUMMARY:Build End-to-End Models in SAS® Viya® Using the Model Studio LAST-MODIFIED:20260421T134923Z LOCATION:https://www.sas.com/en_us/offers/22q3/end-to-end-modeling-in-sas-v iya.html TZID:America/New_York UID:message-351 DESCRIPTION:Click the link below to go to the event page:\nhttps://communit ies.sas.com/t5/Upcoming-Events/Build-End-to-End-Models-in-SAS-Viya-Using-t he-Model-Studio/ec-p/837834#M351\n\nJoin us live for this Virtual Hands-On Workshop to learn how to build and deploy SAS and open source models with greater speed and efficiency. This workshop is offered twice: once on Nov ember 8\, and again on November 9.   The faster and more efficiently you c an build machine learning pipelines\, the sooner decision makers have the insights they need. With Model Studio running on SAS Viya\, we’ve taken e verything that was good about SAS® Enterprise Miner™ and enhanced the inte rface\, speed and scalability. Designed for distributed computing and usi ng in-memory data and parallel processing\, Model Studio on SAS Viya signi ficantly increases the speed with which you can build models on big data. It also requires much less overhead for reading and writing data sets to d isk. In this workshop\, you’ll virtually work alongside expert instructor s to load data into memory\, prepare input variables for modeling and buil d complex analytics pipelines to demonstrate powerful machine learning mod els. You’ll learn how to: Use the SAS Model Studio Graphical Interface for end-to-end modeling. Ingest and prepare data for modeling. Build SAS a nd open source models in one common analytical environment. Use automated machine learning to jump-start your modeling process. Define and compare m ultiple analytical approaches through modeling tournaments. Share and expl ain your project insights. Deploy machine learning results into production . After this workshop\, you will be able to use multiple AI capabilities t o confidently solve many of your organization’s problems. Reserve your spa ce for this event here. Registration is free\, and each student will hav e access to SAS Viya software powered by AWS to follow alongside and pract ice with your instructor as well as exploring on your own. X-ALT-DESC;FMTTYPE=text/html:

Click the link below to go to the event pag e:


https ://communities.sas.com/t5/Upcoming-Events/Build-End-to-End-Models-in-SAS-V iya-Using-the-Model-Studio/ec-p/837834#M351

Join us live for  \;this Virtual Hands-On Workshop \;to learn how to build and deploy SAS and open source models with greater speed and effi ciency. This workshop is offered twice: once on November 8\, and again on November 9.

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The faster and more efficiently you ca n build machine learning pipelines\, the sooner decision makers have the i nsights they need.

With Model Studio running on SAS Viya\, we’v e taken everything that was good about SAS® Enterprise Miner™ and enhanced the interface\, speed and scalability.

Designed for distribute d computing and using in-memory data and parallel processing\, Model Studi o on SAS Viya significantly increases the speed with which you can build m odels on big data. It also requires much less overhead for reading and wri ting data sets to disk.

In this workshop\, you’ll virtually wor k alongside expert instructors to load data into memory\, prepare input va riables for modeling and build complex analytics pipelines to demonstrate powerful machine learning models.

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You’ll l earn how to:

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After this workshop\, you will be able to use multiple AI capabilities to confidently solve many of your organization’s problems.&n bsp\; Reserve your space for this event here.

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R egistration is free\, and each student will have access to SAS Viya softwa re powered by AWS to follow alongside and practice with your instructor as well as exploring on your own.

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