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O'Reilly radar event. Data & AI /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media, Inc.,
2021.
|
| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 300 | |a 1 online resource (1 video file (6 hr., 52 min.)) : |b sound, color. | ||
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| 511 | 0 | |a Jeremy Howard and various other presenters; host, Rachel Roumeliotis. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed March 8, 2022). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 650 | 0 | |a Artificial intelligence. | |
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| 700 | 1 | |a Roumeliotis, Rachel, |e host. | |
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| 700 | 1 | |a Manjengwa, Shingai, |e presenter. | |
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| 700 | 1 | |a Fregly, Chris, |e presenter. | |
| 700 | 1 | |a Barth, Antje, |e presenter. | |
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