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| |  Online-Ressource |
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| Verfasst von: | Chowdhury, Rumman [VerfasserIn]  |
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| | Nielsen, Aileen [VerfasserIn] |
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| | Gandhi, Triveni [VerfasserIn] |
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| | Hall, Patrick [VerfasserIn] |
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| | Williams, Joshua [VerfasserIn] |
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| | Lum, Kristian [VerfasserIn] |
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| | Candela, Joaquin [VerfasserIn] |
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| Titel: | AI Superstream |
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| Titelzusatz: | Responsible AI |
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| Institutionen: | Safari, an O'Reilly Media Company. [MitwirkendeR] |
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| Verf.angabe: | Chowdhury, Rumman |
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| Ausgabe: | 1st edition. |
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| Verlagsort: | [Erscheinungsort nicht ermittelbar] |
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| Verlag: | O'Reilly Media, Inc. |
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| Jahr: | 2021 |
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| Umfang: | 1 online resource (1 video file, approximately 3 hr., 39 min.) |
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| Fussnoten: | Online resource; Title from title screen (viewed June 16, 2021) |
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| Abstract: | Join us for an event focused on the many aspects of designing, deploying, and maintaining responsible AI. Event chair and responsible AI expert Rumman Chowdhury offers overarching context, stitching together shorter tech talks and conversations with industry leaders. What you'll learn and how you can apply it Discover what responsible AI includes (and what it doesn't) See what responsible AI looks like in action, from data to deployment to debugging Learn how to debug your ML model Explore real-world applications of responsible AI Understand what industry leaders think about when they think about responsibility This course is for you because... You're a machine learning engineer or data scientist interested in responsible AI. You're engaged in conversations about ethics and AI. You're wondering how to improve your own AI and machine learning. You're responsible for implementing fair or ethical AI practices in your role or project and looking for hands-on examples. Recommended follow-up: Read Responsible Machine Learning (report) Read AI and the Law (report) Read Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (book) |
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| URL: | Aggregator: https://learning.oreilly.com/library/view/-/0642572057336/?ar |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Vidéo en continu |
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| | streaming video |
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| | Streaming video |
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| | Electronic videos |
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| | Vidéos sur Internet |
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| | Internet videos |
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| | Instructional films |
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| | Nonfiction films |
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| | artificial intelligence |
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| | Films de formation |
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| | Films autres que de fiction |
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| | Intelligence artificielle |
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| K10plus-PPN: | 1903893917 |
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| Lokale URL UB: |  Zum Volltext |
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| | Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
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| |  Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich |
| Bibliothek/Idn: | UW / m4585397353 |
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| Lokale URL Inst.: | Zum Volltext |
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AI Superstream / Chowdhury, Rumman [VerfasserIn]; 2021 (Online-Ressource)
69258380
