index.Rmd

---
title: "Boosting methods: Theory and application in R"
author: "Emanuel Sommer"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
documentclass: book
bibliography: [book.bib, packages.bib]
biblio-style: apalike
csl: the-annals-of-statistics.csl
always_allow_html: true
link-citations: yes
nocite: '@*'
description: "Boosting methods: Theory and Application in R (XGBoost)"
github-repo: EmanuelSommer/boosting_methods
---

# Prerequisites

The reader should have some basic knowledge of the following topics:


-   Statistical learning

    -   Train/ test split

    -   Cross-validation

    -   Overfitting
    
    -   Gradient descent
    
    -   Bias variance trade-off
    
    -   Hyperparameters

-   Regression trees and random forest models

-   Basic R knowledge (only for the applied part)