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O’Reilly Radar : Data & AI (2021)

Howard, Jeremy [VerfasserIn] ; Géron, Aurélien [VerfasserIn] ; Nielsen, Aileen [VerfasserIn] ; [weitere]

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari

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Details

Sprache: Englisch

Seiten: 1 online resource (1 video file, approximately 6 hr., 52 min.)

Ausgabe: 1st edition

Schlagwort(e): Electronic videos

Kurzfassung: O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field. It includes two keynotes and two concurrent three-hour tracks—designed to lay out for tech leaders the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. You’ll explore everything from prototyping and pipelines to deployment and DevOps to responsible and ethical AI.

Anmerkung: Online resource; Title from title screen (viewed October 14, 2021) , Mode of access: World Wide Web.

URL: lizenzpflichtig

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AI Superstream Series : Scaling AI (2021)

Barth, Antje [VerfasserIn] ; Ramanathan, Venkatesh [VerfasserIn] ; Polak, Adi [VerfasserIn] ; [weitere]

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari

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Details

Sprache: Englisch

Seiten: 1 online resource (1 video file, approximately 3 hr., 14 min.)

Ausgabe: 1st edition

Schlagwort(e): Electronic videos

Kurzfassung: Sponsored by intel and LSEG LABS Scaling AI is a notoriously difficult challenge. But it’s easier when you see what’s worked for others—and what hasn’t. This half-day virtual event brings together AI and machine learning engineers from across industries to show how they approach scaling at every stage of the project lifecycle. About the AI Superstream Series: This four-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results. What you’ll learn and how you can apply it Understand what scaling AI does (and doesn’t) include See what scaling AI might look like from design through deployment Explore what current AI leaders are achieving through scaling Discover real-world technical applications This recording of a live event is for you because… You're a machine learning engineer or data scientist interested in the challenges and benefits of scaling. You’re responsible for scaling your organization's machine learning and are looking for hands-on examples. You're wondering how to improve your own AI and machine learning. Recommended follow-up: Read AI and Analytics at Scale (report) Watch Meet the Expert: Dean Wampler on Scaling ML/AI Applications with Ray (recorded event)

Anmerkung: Online resource; Title from title screen (viewed September 22, 2021) , Mode of access: World Wide Web.

URL: lizenzpflichtig

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Bibliothek	Standort	Signatur	Band/Heft/Jahr	Verfügbarkeit

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Online-Ressource

MPI Ethno. Forsch.

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