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diff --git a/acknowledgements.html b/acknowledgements.html
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  <title>Chapter 15 Acknowledgements | Interpretable Machine Learning</title>
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diff --git a/adversarial.html b/adversarial.html
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  <title>10.4 Adversarial Examples | Interpretable Machine Learning</title>
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diff --git a/agnostic.html b/agnostic.html
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  <title>Chapter 6 Model-Agnostic Methods | Interpretable Machine Learning</title>
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diff --git a/ale.html b/ale.html
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  <title>8.2 Accumulated Local Effects (ALE) Plot | Interpretable Machine Learning</title>
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diff --git a/anchors.html b/anchors.html
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  <title>9.4 Scoped Rules (Anchors) | Interpretable Machine Learning</title>
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diff --git a/bike-data.html b/bike-data.html
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  <title>4.1 Bike Rentals (Regression) | Interpretable Machine Learning</title>
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diff --git a/cervical.html b/cervical.html
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  <title>4.3 Risk Factors for Cervical Cancer (Classification) | Interpretable Machine Learning</title>
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diff --git a/cite.html b/cite.html
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  <title>Chapter 13 Citing this Book | Interpretable Machine Learning</title>
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diff --git a/cnn-features.html b/cnn-features.html
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  <title>10.1 Learned Features | Interpretable Machine Learning</title>
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diff --git a/contribute.html b/contribute.html
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  <title>Chapter 12 Contribute to the Book | Interpretable Machine Learning</title>
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  <title>9.3 Counterfactual Explanations | Interpretable Machine Learning</title>
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  <title>Chapter 4 Datasets | Interpretable Machine Learning</title>
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  <title>8.4 Functional Decomposition | Interpretable Machine Learning</title>
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  <title>10.3 Detecting Concepts | Interpretable Machine Learning</title>
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  <title>3.4 Evaluation of Interpretability | Interpretable Machine Learning</title>
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  <title>Chapter 7 Example-Based Explanations | Interpretable Machine Learning</title>
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  <title>3.6 Human-friendly Explanations | Interpretable Machine Learning</title>
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  <title>5.3 GLM, GAM and more | Interpretable Machine Learning</title>
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  <title>8.5 Permutation Feature Importance | Interpretable Machine Learning</title>
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