ISLR :: 소개 및 강좌

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번역본: 가볍게 시작하는 통계학습   (컬러가 아닌게 함정)


ISL Cover 2An Introduction to Statistical Learning, with Applications in R”
(James, Witten, Hastie, Tibshirani – Springer 2013

W1: Introduction and Overview of Statistical Learning (Chapters 1-2)
W2: Linear Regression (Chapter 3)
W3: Classification (Chapter 4)
W4: Resampling Methods (Chapter 5)
W5: Linear Model Selection and Regularization (Chapter 6)
W6: Moving Beyong Linearity (Chapter 7)
W7: Tree-based Methods (Chapter 8)
W8: Support Vector Machines (Chapter 9)
W9: Unsupervised Learning (Chapter 10)


Chapter 1: Introduction (slidesplaylist)

Chapter 2: Statistical Learning (slidesplaylist)

Chapter 3: Linear Regression (slidesplaylist)

Chapter 4: Classification (slidesplaylist)

Chapter 5: Resampling Methods (slidesplaylist)

Chapter 6: Linear Model Selection and Regularization (slidesplaylist)

Chapter 7: Moving Beyond Linearity (slidesplaylist)

Chapter 8: Tree-Based Methods (slidesplaylist)

Chapter 9: Support Vector Machines (slidesplaylist)

Chapter 10: Unsupervised Learning (slidesplaylist)

Interviews (playlist)




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