All current Explainable AI Courses courses in 2024
30 Courses
Responsible Artificial Intelligence Practices (简体中文)
在本课程中，您将学习负责任的 AI 实践。首先，您将了解什么是负责任的 AI，学习定义与挑战，并探索其核心维度。
然后，深入开发负责任的 AI 系统，了解 AWS 提供的服务和工具，以及在模型选择和数据准备中的注意事项。
最后，您将了解透明且可解释的模型，探索其权衡考虑因素及以人为本的设计原则。
课程级别：基础级
时长：1 小时
课程内容：包含互动元素、文字.
Explainable AI in Python
Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors.
Why is Explainable AI crucial? Transparent, accountable, and t.
Yorumlanabilirlik ve Şeffaflık
Bu kursta, yapay zekanın yorumlanabilirliği ve şeffaflığı konularında temel bilgiler sunulmaktadır. Kurs, geliştiriciler ve mühendisler için yapay zeka sistemlerinde şeffaflığın önemine odaklanmaktadır. Eğitim boyunca, veri ve yapay zeka modellerinde yorumlanabilirliğin ve şeffaflığın sağlanmasına yardımcı olacak pratik yöntemler ve araçlar tanı.
XAI: Explainable AI
XAI: Explainable AI - Understanding Machine Learning Models in Python | Udemy
Discover the secrets to demystifying machine learning models with our comprehensive course on Explainable AI. Designed for both beginners and seasoned data scientists, this Udemy course will guide you through the nuances of explainable artificial intelligence using Pyt.
Data Mining for Business Analytics & Data Analysis in Python
Embark on a comprehensive learning journey with the "Data Mining for Business Analytics & Data Analysis in Python" course offered by Udemy. This course is tailored for enthusiasts and professionals eager to explore the depths of data mining, business analytics, and the intriguing world of explainable AI through Python.
Dive into the essentia.
Fundamentals of Responsible Artificial Intelligence/ML
Fundamentals of Responsible Artificial Intelligence/ML | Udemy
Unlock the core principles of responsible AI and ML with our comprehensive course on Udemy. Dive into strategies for creating and sustaining AI models that emphasize the welfare of data subjects, offer transparency through explainable methods, uphold fairness by eliminating bias, an.
Responsible Artificial Intelligence Practices (Tiếng Việt)
Trong khóa học này, bạn sẽ tìm hiểu về các phương pháp thực hành AI có trách nhiệm. Đầu tiên, bạn sẽ tìm hiểu định nghĩa về AI có trách nhiệm, những thách thức cần giải quyết và khám phá các phương diện cốt lõi.
Sau đó, bạn sẽ tìm hiểu sâu về phát triển hệ thống AI với các dịch vụ và công cụ AWS. Khóa học cũng sẽ hướng dẫn cân nhắc lựa chọn mô.
Responsible Artificial Intelligence Practices (한국어)
In this course, you will explore responsible AI practices. It begins with an introduction to what responsible AI means, including defining responsible AI, understanding the challenges it seeks to overcome, and exploring its core elements.
Next, the course delves into various topics for developing responsible AI systems and introduces the services.
Responsible Artificial Intelligence Practices (Español LATAM)
Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. Sin embargo, las descripciones de los cursos permanecerán disponibles en su idioma preferido para que pueda consultarlas.
Artificial Intelligence (AI) Leadership
DataCamp
Step into the realm of AI leadership beyond superficial knowledge. This track is designed to provide a profound understanding of AI, enabling you to drive your organization towards success.
Join this immersive learning experience to master the art of monetizing AI and make product-led decisions that deliver enduring value. Responsible a.