Interpretable Machine Learning A Guide for Making Black Box Models Explainable 2nd Edition by Christoph Molnar – Ebook PDF Instant Download/Delivery: 3839816038, 9798411463330
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Product details:
ISBN 10: 3839816038
ISBN 13: 9798411463330
Author: Christoph Molnar
This book covers a range of interpretability methods, from inherently interpretable models to methods that can make any model interpretable, such as SHAP, LIME and permutation feature importance. It also includes interpretation methods specific to deep neural networks, and discusses why interpretability is important in machine learning. 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?
“What I love about this book is that it starts with the big picture instead of diving immediately into the nitty gritty of the methods (although all of that is there, too).” – Andrea Farnham, Researcher at Swiss Tropical and Public Health Institute
Interpretable Machine Learning A Guide for Making Black Box Models Explainable 2nd Table of contents:
1 Preface by the Author
2 Introduction
3 Interpretability
4 Datasets
5 Interpretable Models
5.1 Linear Regression
5.2 Logistic Regression
5.3 GLM, GAM and more
5.4 Decision Tree
5.5 Decision Rules
5.6 RuleFit
5.7 Other Interpretable Models
6 Model-Agnostic Methods
7 Example-Based Explanations
8 Global Model-Agnostic Methods
8.1 Partial Dependence Plot (PDP)
8.2 Accumulated Local Effects (ALE) Plot
8.3.1 Feature Interaction
8.4 Functional Decompositon
8.5 Permutation Feature Importance
8.6 Global Surrogate
8.7 Prototypes and Criticisms
9 Local Model-Agnostic Methods
9.1 Individual Conditional Expectation (ICE)
9.2 Local Surrogate (LIME)
9.3 Counterfactual Explanations
9.4 Scoped Rules (Anchors)
9.5 Shapley Values
9.6 SHAP (SHapley Additive exPlanations)
10 Neural Network Interpretation
10.1 Learned Features
10.2 Pixel Attribution (Saliency Maps)
10.3 Detecting Concepts
10.4 Adversarial Examples
10.5 Influential Instances
11 A Look into the Crystal Ball
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