All current Interpretability Courses courses in 2024
6 Courses
Responsible AI for Developers: Interpretability & Transparency - Polski
Responsible AI for Developers: Interpretability & Transparency - Polski
Na tym szkoleniu przedstawiamy koncepcje interpretowalności i przejrzystości AI. Omawiamy na nim, jak ważna jest przejrzystość AI dla deweloperów i inżynierów. Pokazujemy praktyczne techniki i narzędzia, które pomagają osiągnąć interpretowalność oraz przejrzystość zarówno w.
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera
本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。
University: Provider: Coursera
Categories:
Artificial Intelligence Courses,
Machine Learning Courses,
Data S.
Responsible AI for Developers: Interpretability & Transparency - Italiano
Responsible AI for Developers: Interpretability & Transparency - Italiano
Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei.
Responsible AI for Developers: Interpretability & Transparency
Responsible AI for Developers: Interpretability & Transparency
This course, Responsible AI for Developers: Interpretability & Transparency, introduces key concepts of AI interpretability and transparency, emphasizing their importance for developers and engineers. Provided by Pluralsight, it explores practical methods and tools to help achieve in.
Developing Explainable AI (XAI)
Developing Explainable AI (XAI)
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy.
This course pro.
