Ce cours présente les concepts d'interprétabilité et de transparence de l'IA. Il explique en quoi la transparence de l'IA est importante pour les développeurs et les ingénieurs. Il explore des méthodes et des outils pratiques permettant d'atteindre l'interprétabilité et la transparence des modèles d'IA et des données.
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What you'll learn
Définir l'interprétabilité et la transparence dans le domaine de l'IA
Décrire l'importance de l'interprétabilité et de la transparence dans l'IA
Explorer les outils et techniques permettant d'atteindre l'interprétabilité et la transparence dans l'IA
Details to know
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July 2024
1 assignment
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There are 4 modules in this course
Ce module présente la structure du cours et ses objectifs.
What's included
1 video
Ce module s'intéresse principalement à l'interprétabilité et la transparence de l'IA. Il fournit des techniques et outils différents permettant d'atteindre l'interprétabilité et la transparence des modèles d'IA et des données.
What's included
9 videos1 assignment1 app item
Ce module propose une synthèse du cours articulée autour des concepts, technologies et outils les plus importants.
What's included
1 video1 reading
Le PDF destiné aux participants contient les liens vers tous les modules.
What's included
3 readings
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.