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Responsible AI for Developers: Interpretability & Transparency
Coursera
Course
Unknown

Responsible AI for Developers: Interpretability & Transparency

Google Cloud

This course introduces AI interpretability and transparency and their importance for developers and engineers, including practical tools and methods for implementation.

Unknown4 weeksEnglish, ID

About this Course

Kursus ini memperkenalkan konsep penafsiran dan transparansi AI. Kursus ini membahas pentingnya transparansi AI bagi developer dan engineer. Kursus ini juga mengeksplorasi metode dan alat praktis untuk membantu mencapai penafsiran dan transparansi, baik dalam model data maupun AI

What You'll Learn

  • Explain interpretability and transparency in AI
  • Describe the importance of interpretability and transparency in AI
  • Identify tools and techniques used to achieve interpretability and transparency

Prerequisites

  • Basic familiarity with relevant concepts and terminology
  • Willingness to engage in practical exercises or case studies

Instructors

G

Google Cloud Training

Topics

Cloud Computing
Information Technology
Model Evaluation
AI Security
Artificial Intelligence
Responsible AI
Data Modeling
Machine Learning

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الحوسبة السحابية
تكنولوجيا المعلومات
تقييم النماذج
أمن الذكاء الاصطناعي
الذكاء الاصطناعي
الذكاء الاصطناعي المسؤول
نمذجة البيانات
التعلم الآلي

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