> ## Content Index > Fetch the complete content index at: https://www.popit.kr/llms.txt > Use this file to discover other available public pages before exploring further. # Coursera Machine Learning으로 기계학습 배우기 : week6 - URL: https://www.popit.kr/coursera-machine-learning-week6/ - Published: 2017-11-29T23:20:06.000Z - Updated: 2017-12-14T07:47:57.000Z - Author: 광식 이 - Tags: #데이터분석, 머신러닝, 기계학습, coursera ## 개요 지난 시간에 이어 Coursera Machine Learning으로 기계학습 배우기 : week6 정리를 진행한다. ## 목차 해당 포스팅은 연재글로써 지난 연재는 아래의 링크를 참고한다. - [Coursera Machine Learning으로 기계학습 배우기 : week1](http://www.kwangsiklee.com/ko/2017/07/corsera-machine-learning-week1-%EC%A0%95%EB%A6%AC/?ref=popit.kr) - [Coursera Machine Learning으로 기계학습 배우기 : week2](http://www.kwangsiklee.com/ko/2017/07/corsera-machine-learning%EC%9C%BC%EB%A1%9C-%EA%B8%B0%EA%B3%84%ED%95%99%EC%8A%B5-%EB%B0%B0%EC%9A%B0%EA%B8%B0-week2/?ref=popit.kr) - [Coursera Machine Learning으로 기계학습 배우기 : week3](http://www.kwangsiklee.com/ko/2017/07/corsera-machine-learning%EC%9C%BC%EB%A1%9C-%EA%B8%B0%EA%B3%84%ED%95%99%EC%8A%B5-%EB%B0%B0%EC%9A%B0%EA%B8%B0-week3/?ref=popit.kr) - [Coursera Machine Learning으로 기계학습 배우기 : week4](http://www.kwangsiklee.com/ko/2017/08/corsera-machine-learning%EC%9C%BC%EB%A1%9C-%EA%B8%B0%EA%B3%84%ED%95%99%EC%8A%B5-%EB%B0%B0%EC%9A%B0%EA%B8%B0-week4/?ref=popit.kr) - [Coursera Machine Learning으로 기계학습 배우기 : week5](http://www.kwangsiklee.com/ko/2017/11/coursera-machine-learning%EC%9C%BC%EB%A1%9C-%EA%B8%B0%EA%B3%84%ED%95%99%EC%8A%B5-%EB%B0%B0%EC%9A%B0%EA%B8%B0-week5/?ref=popit.kr) ## 글을 읽기에 앞서… - 본글은 필자가 코세라 기계학습을 공부를 하는 과정에서 개념을 확고히 정리하기 위하는데 목적이 있다. (필자가 나중에 내용을 다시 찾아보기 위한 목적이 있다.) - 코세라 강의 week 개수에 맞추어 포스팅을 진행할 예정이다. - 코세라의 슬라이드에 한글 주석을 단것이 핵심으로 내용에서 글을 읽을 필요 없이 슬라이드 그림만으로 최대한 이해가 되게끔 하는데 목적이 있다. - 수학은 한국의 고등수학을 베이스로 한다. 수학적 개념이 나올때 가급적 고등학교 수학을 베이스로 내용을 정리한다. - 정리내용의 목차 구성을 코세라 강의와 동일하게 맞추고 또한 제목을 원문으로 둔다. (원본강의 내용과 정리 내용을 서로 서로 찾아보기 쉽게하기 위함이다.) \====================== 6강 ============================================ # Evaluation Learning Algorithm ## Deciding What to Try Next ![](http://www.kwangsiklee.com/wp-content/uploads/2017/11/evaluationalearningalgorithm0100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0200.png) Evaluating a Hypothesis ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0400.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0500.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0600.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0700.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0800.png) ## Model Selection and Train/Validation/Test Sets ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm0900.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm1000.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm1100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm1200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm1300.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/evaluationalearningalgorithm1400.png) # bias vs variance ## Diagnosing Bias vs. Variance ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0300.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0400.png) ## Regularization and Bias/Variance ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0500.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0600.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0700.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0800.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance0900.png) ## Learning Curves ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1000.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1300.png) ## Deciding What to Do Next Revisited ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1400.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1500.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/biasvsvariance1600.png) # Building Spam Classifier ## Prioritizing What to Work On ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0300.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0400.png) ## Error Analysis ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0500.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0600.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0700.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/buildingaspamclassifier0800.png) # Handling Skewed Data ## Error Metrics for Skewed Classes ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0300.png) ## Trading Off Precision and Recall ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0400.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0500.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/handlingskeweddata0600.png) # Using Large Datasets ## Data For Machine Learning ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/usinglargedatasets0100.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/usinglargedatasets0200.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/usinglargedatasets0300.png) ![](http://www.kwangsiklee.com/wp-content/uploads/2017/06/usinglargedatasets0400.png)