All current Explainable AI Courses courses in 2024
21 Courses
Interpretable Machine Learning
Interpretable Machine Learning
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course is a.
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.
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.
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.
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.
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.
Responsible Artificial Intelligence Practices (Traditional Chinese)
負責任的人工智慧實踐 (繁體中文)
在本課程中，您將學習 AI 實踐。首先，將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰，以及探索負責任 AI 的核心維度。
然後，您將深入探索一些主題，瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供，以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI 系統選擇模型和準備資料時，.
Explainable AI (XAI)
Explainable AI (XAI)
In an era where Artificial Intelligence (AI) is rapidly transforming high-risk domains like healthcare, finance, and criminal justice, the ability to develop AI systems that are not only accurate but also transparent and trustworthy is critical. The Explainable AI (XAI) Specialization is designed to empower AI professionals.
Prácticas de IA responsable (Español LATAM) | Responsible Artificial Intelligence Practices (LATAM Spanish)
En este curso, aprenderá sobre las prácticas de la IA responsable. En primer lugar, tendrá acceso a una introducción en la que se explicará qué es la IA responsable. Aprenderá a definir la IA responsable, comprenderá los desafíos que la IA responsable intenta superar y explorará las dimensiones fundamentales de la IA responsable.
Luego, profun.
Explainable Machine Learning (XAI)
Explainable Machine Learning (XAI)
Explainable Machine Learning (XAI)
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also trans.
