Linkedin Learning – Learning XAI-Explainable Artificial Intelligence

This course focuses on the data-based and mathematical factors contributing to bias in generative AI. Join instructor Jazmia Henry as she explores how data curation, analytical techniques, and post-training constraints can mitigate harmful biases embedded in these models. Through real-world examples and case studies, the course aims to help you understand and apply strategies for creating fairer, more transparent AI systems.

RAPIDGATOR:
https://rapidgator.net/file/7731f0ce6e99b19efb0288911bec2d94/Linkedin.Learning.Learning.XAI-Explainable.Artificial.Intelligence.UPDATED.2025-04-11.BOOKWARE-SCHOLASTiC.rar.html

TURBOBIT:
https://trbt.cc/k2jftrp1zz4l/Linkedin.Learning.Learning.XAI-Explainable.Artificial.Intelligence.UPDATED.2025-04-11.BOOKWARE-SCHOLASTiC.rar.html