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Build End-to-End Models in SAS® Viya® Using the Model Studio
Tuesday, November 8, 2022
https://www.sas.com/en_us/offers/22q3/end-to-end-modeling-in-sas-viya.html
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 efficiency. This workshop is offered twice: once on November 8, and again on November 9.   The faster and more efficiently you can build machine learning pipelines, the sooner decision makers have the insights they need. With Model Studio running on SAS Viya, we’ve taken everything that was good about SAS® Enterprise Miner™ and enhanced the interface, speed and scalability. Designed for distributed computing and using in-memory data and parallel processing, Model Studio on SAS Viya significantly 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 disk. In this workshop, you’ll virtually work alongside expert instructors to load data into memory, prepare input variables for modeling and build complex analytics pipelines to demonstrate powerful machine learning models. 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 and open source models in one common analytical environment. Use automated machine learning to jump-start your modeling process. Define and compare multiple analytical approaches through modeling tournaments. Share and explain your project insights. Deploy machine learning results into production. After this workshop, you will be able to use multiple AI capabilities to confidently solve many of your organization’s problems. Reserve your space for this event here. Registration is free, and each student will have access to SAS Viya software powered by AWS to follow alongside and practice with your instructor as well as exploring on your own.
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Build End-to-End Models in SAS® Viya® Using the Model Studio
Wednesday, November 9, 2022
https://www.sas.com/en_us/offers/22q3/end-to-end-modeling-in-sas-viya.html
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 efficiency. This workshop is offered twice: once on November 8, and again on November 9.   The faster and more efficiently you can build machine learning pipelines, the sooner decision makers have the insights they need. With Model Studio running on SAS Viya, we’ve taken everything that was good about SAS® Enterprise Miner™ and enhanced the interface, speed and scalability. Designed for distributed computing and using in-memory data and parallel processing, Model Studio on SAS Viya significantly 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 disk. In this workshop, you’ll virtually work alongside expert instructors to load data into memory, prepare input variables for modeling and build complex analytics pipelines to demonstrate powerful machine learning models. 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 and open source models in one common analytical environment. Use automated machine learning to jump-start your modeling process. Define and compare multiple analytical approaches through modeling tournaments. Share and explain your project insights. Deploy machine learning results into production. After this workshop, you will be able to use multiple AI capabilities to confidently solve many of your organization’s problems. Reserve your space for this event here. Registration is free, and each student will have access to SAS Viya software powered by AWS to follow alongside and practice with your instructor as well as exploring on your own.
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SAS Bowl XXV, SAS Extension for Visual Studio Code
Wednesday, November 16, 2022
https://si.sas.com/sasbowl
In 2019 a survey on Stack Overflow listed Visual Studio Code (VS Code) as the IDE of choice for 50% of the developers surveyed. That number   jumped to 71% in 2021 . Moral of the story: VS Code is popular in the developer community and is still growing in adoption. Also, in 2019, SAS users asked for the extension in the Community thread  Anyone interested in developing a VS Code extension for SAS language?.  SAS recently released the SAS Extension for VS Code and we're featuring it in SAS Bowl XXV.   Game Details The SAS Support Community trivia event, SAS Bowl XXV, SAS Extension for Visual Studio Code is scheduled for Wednesday, November 16, at 10 AM ET. Register for the event and receive an invite to a Microsoft Teams meeting and a calendar event. On game day, join the Teams meeting and access the game here.   More on the SAS Extension for VS Code Rather than asking developers to log into, and code in, the SAS UI, we’ve developed the VS Code SAS Extension. The tool offers users an integration point for adding SAS programs and code into their work, without having to switch applications. The tool also offers the ability to connect directly to SAS Viya and run code.  The extension is available on   SAS’ Visual Studio Marketplace and is available for SAS Viya.   The features number too many to list here, so view the resources below to learn more and gain an advantage in the game. SAS Visual Studio Marketplace - official VS Marketplace site for the SAS extension sas-vscode-extension repository on sassoftware GitHub - repository with documentation, usage notes, and FAQs Visual Studio Code SAS Programming Extension: Meeting You Where You Work - OnDemand SAS Explore SuperDemo (complementary SAS Explore registration required) VS Code SAS Programming Code Extension Released - Communities article with project background, features, and tips   SAS Bowl and event details For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.   Register for the event and receive an invite with game details and a Teams meeting link. On game day, Join the TEAMS meeting to play, and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.
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