Actual Causality PDF Download
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Author: Joseph Y. Halpern
Publisher: MIT Press
ISBN: 0262035022
Category : Computers
Languages : en
Pages : 240
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Book Description
Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.
Author: Joseph Y. Halpern
Publisher: MIT Press
ISBN: 0262035022
Category : Computers
Languages : en
Pages : 240
Get Book Here
Book Description
Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1654
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Book Description
Author: Washington (State)
Publisher:
ISBN:
Category : Washington (State)
Languages : en
Pages : 1312
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Author: John Fletcher Moulton
Publisher:
ISBN:
Category : Finance, Public
Languages : en
Pages : 16
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Book Description
Author: League of Nations
Publisher:
ISBN:
Category :
Languages : en
Pages : 620
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Book Description
Author:
Publisher:
ISBN:
Category : Law
Languages : en
Pages : 1374
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Author: Norman Robert Campbell
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 590
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Book Description
Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Artificial intelligence
Languages : en
Pages : 320
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Book Description
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.
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Category : Law reports, digests, etc
Languages : en
Pages : 1020
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Book Description
Author:
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 1148
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Book Description
