Anh-Thi DINH
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### Reading: An introduction to Statistic Learning 1

Posted on 13/09/2018, in Mathematics, Machine Learning, Data Science.

I use this note to archive everything I learn from the book An introduction to statistic learning by Gareth James. Note that, I read this book on a electronic version. So, there are many remarks I wrote directly on the pdf file.

keyboard_arrow_right Read my ISL’s pdf file. (available after I finish this book)
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## Notations

• Page 10
• ISL: Introduction to Statistic Learning (this book)
• ESL: ELements of Statistical Learning by Hastie, Tibbshirani and Friedman.
• $p$ = number of variables (year, sex, age) or features (in ML)
• $n$ = number of observations
• $x_{ij}$ = the value of the jth variable for the ith observation.
• $i=1,\ldots,n$
• $j=1,\ldots,p$
• $x_i$ = a vector of lenght $p$ containing the $p$ variable measurements for the ith observation.
• $\mathbf{x}_j$ for jth variables
• a vector of length $n$ (variables) are always denoted in lower case bold

## Introduction

• ISL is a book written for ones come before reading book ESL.
• ISL only uses R but there are also codes in Python here or here.
• Website of the book.
• ISLR package for R.

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