forked from rasbt/python-machine-learning-book-3rd-edition
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request rasbt#109 from rasbt/exercises
Exercises
- Loading branch information
Showing
4 changed files
with
38 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,21 @@ | ||
# 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 | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,8 @@ | ||
# 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?” | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,9 @@ | ||
# 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.* |
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.