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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;TZID=America/New_York:20240516T130000
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DTSTAMP:20260502T115031
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UID:10000071-1715864400-1715878800@datascienceconsortium.org
SUMMARY:Foundations of AI: Intro to AI with Amy Hemmeter
DESCRIPTION:In this half-day course\, you’ll learn about Artificial Intelligence (AI)\, starting with foundational concepts in machine learning and deep learning\, then moving to the basics of Natural Language Processing and Computer Vision that got us to our current boom in Generative AI as demonstrated by GPT-3\, DALL-E and other well-known tools. Learn how to train your own AI models\, how to make the most of open-source and pre-trained models on the market\, and how to stay ahead of the curve on technical improvements. \nIn this course you’ll learn: \n\nBasics of deep learning with language data\nHow BERT and GPT work\nWhat is Generative AI?\nWhat is an LLM and how do I use it?\nBasics of prompt tuning and prompt engineering\nRetrieval Augmented Generation (RAG)\nEvaluating generative model performance\n\nRegister for the Course
URL:https://datascienceconsortium.org/event/foundations-of-ai-may-2024/
CATEGORIES:Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_05_Foundations-02-1.png
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DTSTART;TZID=America/New_York:20240430T153000
DTEND;TZID=America/New_York:20240430T161500
DTSTAMP:20260502T115031
CREATED:20240222T165513Z
LAST-MODIFIED:20240222T170615Z
UID:10000070-1714491000-1714493700@datascienceconsortium.org
SUMMARY:DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
DESCRIPTION:The National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements\, standards\, and legal metrology to provide recommendations that ensure traceability\, enable quality assurance\, and harmonize documentary standards and regulatory practices. Their framework is very detailed with recommendations across four functions: govern\, map\, measure\, and manage. In this session\, we’ll discuss incorporating these recommendations into the analytics lifecycle. Attendees to this session will gain a greater understanding of trustworthy AI best practices as well as user roles and expectations for building responsible analytics. \nJoin NCDS as Sophia Rowland\, a Senior Product Manager focusing on ModelOps and MLOps at SAS\, walks us through this important presentation. \nRegister for the Event \n\n 
URL:https://datascienceconsortium.org/event/databytes-supporting-ai-risk-management-in-the-analytics-lifecycle/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_04_DataBytes_Small-Flyer.png
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DTSTART;TZID=America/New_York:20240222T120000
DTEND;TZID=America/New_York:20240222T130000
DTSTAMP:20260502T115031
CREATED:20240202T162917Z
LAST-MODIFIED:20240213T163833Z
UID:10000068-1708603200-1708606800@datascienceconsortium.org
SUMMARY:DataBytes: Becoming A Data Detective - Holding AI Accountable
DESCRIPTION:Bias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman\, Emmy-award winning investigative reporter\, Wall Street Journal and Guardian contributor and Journalism Professor at NYU\, as she shares key takeaways from her book\, The Algorithm: How Al Decides Who Gets Hired\, Monitored\, Promoted\, and Fired and Why We Need to Fight Back Now. \nAl is now being used to decide who has access to an education\, who gets hired\, who gets fired\, and who receives a promotion. Algorithms are on the brink of dominating our lives and threaten our human future-if we don’t fight back. During the webinar\, Schellmann will share takeaways about the rise of Al in the world of work and show how she tested many of the available tools herself without coding experience. \nDuring our time together\, Hilke will share a few key takeaways from the book and answer questions from the audience. You don’t want to miss this.\nRegister for the Event
URL:https://datascienceconsortium.org/event/databytes-feb-2024/
LOCATION:via Zoom
CATEGORIES:DataBytes,Professional Development,Upskilling
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2024_02_DataBytes_Small-Flyer-1.png
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