Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile utilizzando gli strumenti open source e i prodotti Google Cloud.
Responsible AI for Developers: Fairness & Bias - Italiano
Responsible AI for Developers: Fairness & Bias - Italiano
Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Definire cos'è l'AI responsabile
Identificare i principi dell'AI di Google
Descrivere cosa sono l'equità e i bias dell'AI
Spiegare come identificare e mitigare i bias attraverso i dati e la modellizzazione
Details to know
Shareable certificate
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Assessments
2 assignments
Taught in Italian
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There are 5 modules in this course
Questo modulo introduce la struttura e gli obiettivi del corso.
What's included
1 video
Questo modulo fornisce una panoramica dell'AI responsabile, trattando i principi dell'AI di Google e gli argomenti secondari dell'AI responsabile. Inoltre, fornisce case study reali sull'AI responsabile nei prodotti Google.
What's included
4 videos1 assignment
Questo modulo è incentrato su equità e bias dell'AI. Fornisce varie tecniche e strumenti per identificare e mitigare i bias attraverso i dati e la modellizzazione.
What's included
9 videos1 assignment1 app item
Questo modulo fornisce un riepilogo dell'intero corso coprendo i concetti, gli strumenti e le tecnologie più importanti.
What's included
1 video1 reading
Link PDF per gli studenti a tutti i moduli
What's included
4 readings
Instructor
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