En este curso, se presentan los conceptos de la IA responsable y los principios de la IA. Se abordan técnicas para identificar de forma práctica la equidad y los sesgos, y mitigar los sesgos en las prácticas de IA/AA. Se exploran métodos y herramientas funcionales para implementar prácticas recomendadas de la IA responsable con productos de Google Cloud y herramientas de código abierto.
Responsible AI for Developers: Fairness & Bias - Indonesian
Responsible AI for Developers: Fairness & Bias - Indonesian
Instructor: Google Cloud Training
Sponsored by Louisiana Workforce Commission
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
Definir qué es la IA responsable
Identificar los principios de la IA de Google
Explicar qué significan la equidad y el sesgo en la IA
Explicar cómo identificar y mitigar sesgos a través de datos y modelado
Details to know
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Assessments
2 assignments
Taught in Indonesian
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There are 5 modules in this course
Modul ini membahas struktur dan tujuan kursus.
What's included
1 video
Modul ini berisi ringkasan tentang Responsible AI, yang mencakup Prinsip AI Google dan sub-topik Responsible AI. Selain itu, modul ini berisi studi kasus aktual tentang Responsible AI dalam produk-produk Google.
What's included
4 videos1 assignment
Modul ini berfokus pada Keadilan dan Bias AI. Di dalamnya tercakup berbagai teknik dan alat untuk mengidentifikasi dan memitigasi bias melalui data dan pemodelan.
What's included
9 videos1 assignment1 app item
Modul ini memberikan ringkasan keseluruhan kursus dengan mencakup konsep, alat, dan teknologi yang paling penting.
What's included
1 video1 reading
Link PDF siswa ke semua modul
What's included
4 readings
Instructor
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