# Mastering Machine Learning with scikit-learn

[FREE TECHNOLOGY EBOOKS (PACKT)](https://www.packtpub.com/packt/offers/free-learning)​ 공개일 : 2017-07-10

Gavin Hackeling (지은이) | Packt Pub Ltd | 2014-10-31

238쪽 | 235*191mm | 언어 : English | 국가 : 미국 | 271g | ISBN : 9781783988365

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해당 도서는 2014년에 출간된 1판 이며, 한글번역판은 출간되지 않았습니다.[(알라딘 참조)](http://www.aladin.co.kr/search/wsearchresult.aspx?SearchTarget=All&SearchWord=Mastering+Machine+Learning+with+scikit-learn&x=21&y=9)

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### 목차

1: The Fundamentals of Machine Learning
2: Linear Regression
3: Feature Extraction and Preprocessing
4: From Linear Regression to Logistic Regression
5: Nonlinear Classification and Regression with Decision Trees
6: Clustering with K-Means
7: Dimensionality Reduction with PCA
8: The Perceptron
9: From the Perceptron to Support Vector Machines
10: From the Perceptron to Artificial Neural Networks
Appendix A: Index

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### 참고

* scikit-learn 소개:[위키피디어(영문)](http://scikit-learn.org/stable/)
* scikit-learn 안내:[공식사이트(영문)](http://scikit-learn.org/stable/),[Documentation(영문)](http://scikit-learn.org/stable/documentation.html),[github(영문)](https://github.com/scikit-learn/scikit-learn)
* scikit-learn을 활용한 기계 학습:[brenden17님 github(한글)](https://github.com/brenden17/blog/blob/master/post/ms.scikit-learn.v.md)
* Scikit-Learn Cheat Sheet: Python Machine Learning:[Datacamp(영문)](https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet#gs.MfSPyYs),[cheat-sheet(영문)](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf)
* A Gentle Introduction to Scikit-Learn:[A Python Machine Learning Library(영문)](http://machinelearningmastery.com/a-gentle-introduction-to-scikit-learn-a-python-machine-learning-library/)

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### 출처

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* [https://www.packtpub.com/packt/offers/free-learning](https://www.packtpub.com/packt/offers/free-learning)