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Google Cloud Training
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/2n9nd1/responsible
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What's inside
Syllabus
Wprowadzenie do szkolenia
W tej części przedstawiamy cele i strukturę szkolenia.
Wprowadzenie do odpowiedzialnej AI
Ta część zawiera omówienie różnych tematów związanych z odpowiedzialną AI oraz informacje o zasadach Google dotyczących AI. Przedstawia też studia przypadków związane z odpowiedzialną AI w usługach Google.
Read more
Syllabus
Wprowadzenie do szkolenia
W tej części przedstawiamy cele i strukturę szkolenia.
Wprowadzenie do odpowiedzialnej AI
Ta część zawiera omówienie różnych tematów związanych z odpowiedzialną AI oraz informacje o zasadach Google dotyczących AI. Przedstawia też studia przypadków związane z odpowiedzialną AI w usługach Google.
Read more
Obiektywność i uprzedzenia w AI
W tej części koncentrujemy się na obiektywności i uprzedzeniach w AI. Przedstawiamy różne techniki i narzędzia, które pozwalają identyfikować uprzedzenia i minimalizować ich występowanie przy użyciu danych i modelowania.
Podsumowanie szkolenia
Ta część zawiera podsumowanie całego szkolenia obejmujące najważniejsze koncepcje, narzędzia i technologie.
Materiały zastosowane w szkoleniu
Linki do plików PDF dla uczestników szkolenia dotyczących wszystkich części
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores responsible AI concepts and principles, making it relevant to those seeking to implement ethical AI practices in their work
Taught by Google Cloud Training, who are recognized for their expertise in AI and cloud computing
Provides techniques for identifying and mitigating biases in AI practices, which is crucial for developing fair and unbiased AI systems
Covers both theoretical foundations and practical implementation methods, ensuring a well-rounded understanding of responsible AI
Emphasizes the importance of responsible AI in the development and deployment of AI systems, making it highly relevant to practitioners in the field
Save this course
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Activities
Be better prepared
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your course. Deepen your understanding
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it. Supplement your coursework and achieve mastery of the topics covered
in Responsible AI for Developers: Fairness & Bias - Polski with these
activities:
Partecipa a un hackathon incentrato sull'AI responsabile
Show steps
Impegnati in una sfida pratica e collaborativa per risolvere problemi del mondo reale utilizzando l'AI responsabile.
Show steps
-
Cerca un hackathon incentrato sull'AI responsabile
-
Forma un team e sviluppa una soluzione innovativa
Segui i tutorial su TensorFlow per l'AI responsabile
Show steps
Fornisce una guida passo passo per l'implementazione di tecniche AI responsabili utilizzando TensorFlow.
Browse courses on
TensorFlow
Show steps
-
Completa il tutorial di base sull'AI responsabile
-
Segui i tutorial su argomenti specifici di interesse, come l'equità o l'interpretabilità
Show all two activities
Partecipa a un hackathon incentrato sull'AI responsabile
Show steps
Impegnati in una sfida pratica e collaborativa per risolvere problemi del mondo reale utilizzando l'AI responsabile.
Show steps
Show steps
Show steps
- Cerca un hackathon incentrato sull'AI responsabile
- Forma un team e sviluppa una soluzione innovativa
Segui i tutorial su TensorFlow per l'AI responsabile
Show steps
Fornisce una guida passo passo per l'implementazione di tecniche AI responsabili utilizzando TensorFlow.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Completa il tutorial di base sull'AI responsabile
- Segui i tutorial su argomenti specifici di interesse, come l'equità o l'interpretabilità
Show all two activities
Career center
Learners who complete Responsible AI for Developers: Fairness & Bias - Polski will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/2n9nd1/responsible
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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 5, 2024
- September 16, 2024
Language
Italiano
Transcript
Polski
Good to know
Explores responsible AI concepts and principles, making it relevant to those seeking to implement ethical AI practices in their work
Taught by Google Cloud Training, who are recognized for their expertise in AI and cloud computing
Provides techniques for identifying and mitigating biases in AI practices, which is crucial for developing fair and unbiased AI systems
Covers both theoretical foundations and practical implementation methods, ensuring a well-rounded understanding of responsible AI
Emphasizes the importance of responsible AI in the development and deployment of AI systems, making it highly relevant to practitioners in the field
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