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 danych, jak i modelach AI.
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Responsible AI for Developers: Interpretability & Transparency - Polski
Taught in Polish
What you'll learn
Definiowanie interpretowalności i przejrzystości w kontekście AI.
Opisywanie znaczenia interpretowalności i przejrzystości AI.
Poznanie narzędzi i technik wykorzystywanych do osiągnięcia interpretowalności i przejrzystości AI.
Details to know
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July 2024
1 assignment
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There are 4 modules in this course
W tej części przedstawiamy cele i strukturę szkolenia.
What's included
1 video
W tej części skupiamy się na interpretowalności i przejrzystości AI. Pokazujemy różne techniki i narzędzia, które pomagają osiągnąć interpretowalność oraz przejrzystość zarówno w modelach danych, jak i modelach AI.
What's included
9 videos1 assignment1 app item
Ta część zawiera podsumowanie całego szkolenia obejmujące najważniejsze koncepcje, narzędzia i technologie.
What's included
1 video1 reading
Linki do plików PDF dla uczestników szkolenia dotyczących wszystkich części
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.