All current Explainable AI Courses courses in 2024
18 Courses
AI and the Future of Work: Workflows and Modern Tools for Tech Leaders
AI and the Future of Work: Workflows and Modern Tools for Tech Leaders
Explore the integration of machine learning operations in your business. Unveil the potential of machine learning and navigate through its challenges. This comprehensive course offered by LinkedIn Learning will equip tech leaders with the skills to harness modern tools and wo.
Building a Responsible AI Program: Context, Culture, Content, and Commitment
Building a Responsible AI Program: Context, Culture, Content, and Commitment
Organizations leveraging AI must do so responsibly. Join us for the course "Building a Responsible AI Program: Context, Culture, Content, and Commitment" on LinkedIn Learning. Understand the nuances of ethical AI use and ensure your practices align with societal expect.
Introduction to Machine Learning: Art of the Possible (Indonesian)
Introduction to Machine Learning: Art of the Possible (Indonesian)
Kursus digital ini dirancang untuk membantu para pengambil keputusan bisnis dalam memahami hal-hal mendasar dari machine learning (ML).
Tingkat kursus: Dasar
Durasi: 30 menit
Catatan: Kursus ini memiliki transkrip/subtitle lokal. Narasi disampaikan dalam bahasa Inggris. Untuk.
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera
本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。
University: Provider: Coursera
Categories:
Artificial Intelligence Courses,
Machine Learning Courses,
Data S.
Responsible AI: Interpretability & Transparency - Deutsch
Responsible AI: Interpretability & Transparency - Deutsch
In diesem Kurs werden Konzepte in Bezug auf die Interpretierbarkeit und Transparenz von künstlicher Intelligenz vorgestellt. Sie erfahren, warum die Transparenz der KI für Entwickler-Teams wichtig ist. Dabei lernen Sie praktische Techniken und Tools kennen, mit denen Sie sowohl die Interp.
Responsible AI for Developers: Interpretability & Transparency
Responsible AI for Developers: Interpretability & Transparency
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
University: Prov.
Learn Explainable AI (XAI)
Learn Explainable AI (XAI)
Discover the world of Explainable AI and gain the skills to interpret the decision-making process of deep neural networks. Often referred to as black boxes, deep learning models can be opaque, but Explainable AI (XAI) aims to make their operations more transparent and understandable. By joining this course, you will expl.
Artificial Intelligence
Artificial Intelligence
Designed as an introduction to the evolving area of AI, this course emphasizes potential business applications and related managerial insights. Artificial Intelligence (AI) is the science behind systems that can program themselves to classify, predict, and offer solutions based on structured and unstructured data. For mil.
