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An Introduction to Machine Learning Interpretability
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  • Title: An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI
  • Author(s) Patrick Hall and Navdeep Gill
  • Publisher: O'Reilly Media, Inc.; eBook (Compliments of H2O.ai and Dataiku)
  • Permission: Free eBook is Complimented by H2O.ai and Dataiku
  • Paperback: N/A
  • eBook: PDF
  • Language: English
  • ISBN-10/ASIN: N/A
  • ISBN-13: 978-1098115456
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Book Description

Understanding and trusting models and their results is a hallmark of good science. Get an applied perspective on how this applies to machine learning, including fairness, accountability, transparency, and explainable AI.

About the Authors
  • Patrick Hall is senior director for data science products at H2O.ai. Navdeep Gill is a senior data scientist and software engineer at H2O.ai.
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