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Interpretable Machine Learning

Christoph Molnar
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      This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
      Format: CONTRIBUTORS: Christoph Molnar EAN: 9780244768522 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 246 cm
      PUBLISHED BY: Lulu.com DATE PUBLISHED: 2020-02-28 CITY: GENRE: COMPUTERS / General WIDTH: 189 cm SPINE:

      Book Themes:

      Information technology: general topics

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      This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
      Format: CONTRIBUTORS: Christoph Molnar EAN: 9780244768522 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 246 cm
      PUBLISHED BY: Lulu.com DATE PUBLISHED: 2020-02-28 CITY: GENRE: COMPUTERS / General WIDTH: 189 cm SPINE:

      Book Themes:

      Information technology: general topics

      Customer Reviews

      Be the first to write a review
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