Explainable AI
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What is Explainable AI?
Explainable AI (XAI) refers to methods and techniques used to make the decisions of machine learning models understandable to humans. It aims to shed light on how a model arrives at a particular prediction, identifying the factors that influenced the outcome. This allows users to understand, trust, and effectively manage AI systems.
Free resources to learn Explainable AI
Explainable AI: common questions
Can I learn Explainable AI in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Explainable AI in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Explainable AI tutorial for beginners?
It is lesson 62 of 62 in the free MLOps roadmap, in stage 13, Explainable AI. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.