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+# Chapter 06 Exercises
+
+1. In a binary classification task (with fairly balanced classes), in what scenario the AUC is not a reliable performance measure for model selection? We are looking at a general case. As a hint, imagine we plotted the ROC curves of two models -- think about in what case the AUC is too simplistic for comparing these models.
+
+
+## Related but Beyond Scope
+
+*Exercises in this section cannot be answered by just reading the chapter and require further reading and research.*
+
+1. In the following paragraph, replace ‘__’ by the letters a-c, which are defined as  
+a): Out-of-Bag (OOB) Bootstrap  
+b): .632 Bootstrap   
+c): .632+ Bootstrap  
+
+"For estimating the generalization performance, the _(1) is less optimistically biased than the _, while (1) and _ are less pessimistically biased than the _."
+
+Suggested reading to answer this question: 
+
+- Sebastian Raschka (2018). Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning.  
+https://arxiv.org/abs/1811.12808
+
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+# Chapter 13 Exercises
+
+## Related but Beyond Scope
+
+*Exercises in this section cannot be answered by just reading the chapter and require further reading and research.*
+
+1. Day 1 of the Python Machine Learning Holiday Giveaway: “Who first introduced the term *deep learning* in the context of machine learning, and when?”
+
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+# Chapter 15 Exercises
+
+1. What is the total number of learnable parameters in the following CNN block? This block consists of two convolutional layers followed by a BatchNorm layer.
+
+![](images/cnn-block-1.jpeg)
+
+## Related but Beyond Scope
+
+*Exercises in this section cannot be answered by just reading the chapter and require further reading and research.*
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