### 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 ISLâ€™s pdf file. (available after I finish this book)

*toc*In this post

## 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.