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Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro

Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro Neste curso, apresentamos os conceitos de interpretabilidade e transparência em IA. Vamos abordar a importância da transparência em IA para desenvolvedores e engenheiros. O curso também abrange ferramentas e métodos práticos para ajudar a alcançar a interpre.
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Responsible AI for Developers: Interpretability & Transparency - 日本語版

Responsible AI for Developers: Interpretability & Transparency - 日本語版 このコースでは、AI の解釈可能性と透明性のコンセプトを紹介します。デベロッパーとエンジニアにとって AI の透明性が重要であることについて説明します。データと AI モデルの両方で解釈可能性と透明性を達成できる実践的な方法とツールを検証します。
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Responsible AI for Developers: Privacy & Safety - 日本語版

Responsible AI for Developers: Privacy & Safety - 日本語版 このコースでは、AI のプライバシーと安全性に関する重要なトピックを紹介します。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して AI のプライバシーと安全性の推奨プラクティスを実装するための実践的な方法とツールを検証します。 提供元: Coursera カテゴリ: 人工知能コース,.
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Responsible AI for Developers: Privacy & Safety - Українська

Відповідальний ШІ для Розробників: Конфіденційність та Безпека - Українська Під час цього курсу ви ознайомитеся з важливими темами, що стосуються конфіденційності й безпеки в системах ШІ. Ви дізнаєтеся про практичні методи й інструменти, які дають змогу застосувати рекомендації щодо конфіденційності й безпеки в системах.
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Responsible AI: Interpretability & Transparency - Deutsch

Responsible AI: Interpretability & Transparency - Deutsch In diesem Kurs werden Konzepte in Bezug auf die Interpretierbarkeit und Transparenz von künstlicher Intelligenz vorgestellt. Sie erfahren, warum die Transparenz der KI für Entwickler-Teams wichtig ist. Dabei lernen Sie praktische Techniken und Tools kennen, mit denen Sie sowohl die Interp.
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IA para todos: domina los conceptos básicos

En este MOOC, aprenderás qué es la IA y comprenderás sus aplicaciones y casos de uso y cómo está transformando nuestras vidas. Explorarás los conceptos básicos de la IA, como el aprendizaje automático, el aprendizaje profundo y las redes neuronales, así como los casos de uso y las aplicaciones de la IA. Estarás expuesto a las preocupaciones que r.
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Smart Analytics, Machine Learning and AI on GC - 한국어

Smart Analytics, Machine Learning and AI on GC - 한국어 머신러닝을 데이터 파이프라인에 통합하면 데이터에서 더 많은 인사이트를 도출할 수 있습니다. 이 과정에서는 머신러닝을 Google Cloud의 데이터 파이프라인에 포함하는 방법을 알아봅니다. 맞춤설정이 거의 또는 전혀 필요 없는 경우에 적합한 AutoML에 대해 알아보고 맞춤형 머신러닝 기능이 필요한 경우를 위.
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Smart Analytics, Machine Learning, and AI on GCP - Italiano

Smart Analytics, Machine Learning, and AI on GCP - Italiano Integrare il machine learning nelle pipeline di dati aumenta significativamente la capacità di estrarre insight preziosi dai dati. Questo corso esplora vari metodi per includere il machine learning nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il co.
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