Mastering Machine Learning with scikit-learn

FREE TECHNOLOGY EBOOKS (PACKT)​ 공개일 : 2017-07-10

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

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

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

해당 도서는 2014년에 출간된 1판 이며, 한글번역판은 출간되지 않았습니다.(알라딘 참조)

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

• scikit-learn 소개:위키피디어(영문)
• scikit-learn 안내:공식사이트(영문),Documentation(영문),github(영문)
• scikit-learn을 활용한 기계 학습:brenden17님 github(한글)
• Scikit-Learn Cheat Sheet: Python Machine Learning:Datacamp(영문),cheat-sheet(영문)
• A Gentle Introduction to Scikit-Learn:A Python Machine Learning Library(영문)

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