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)
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
참고
- scikit-learn 소개:위키피디어(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)