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1 change: 1 addition & 0 deletions config.toml
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Expand Up @@ -15,6 +15,7 @@ enableEmoji = true

[permalinks]
blog = "/:slug/"
bookshelf = "/:slug/"


[params]
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26 changes: 26 additions & 0 deletions content/bookshelf/2021-03-09-an-example/index.en.md
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---
title: 'Book Review: An Example'
author: 'David Beauchemin and Annie Deshaies'
description: 'Jon Doe and Jone Doe'
date: '2021-03-09'
type: 'bookshelf'
tags: ['Machine Learning', 'tags2', 'tags3', 'Python']
slug: example
summary: 'This book review is an example for others to do a book review.'
---

**Ranking**: :star: :star: :star: :star: :star:

**Coding prerequisites**: low

**Math/stats prerequisites**: low

**Level**: easy

# Summary

This book review is an example for others to do a book review.

# Review

Here we would write down the review of the book. Talking about what we liked, what we did not like and other interesting stuff.
26 changes: 26 additions & 0 deletions content/bookshelf/2021-03-09-an-example/index.fr.md
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---
title: 'Critique de livres : Un exemple'
author: 'David Beauchemin et Annie Deshaies'
description: 'Jon Doe et Jone Doe'
date: '2021-03-09'
type: 'bookshelf'
tags: ['apprentissage automatique', 'tags2', 'tags3', 'Python']
slug: exemple
summary: 'Cette critique de livre est un exemple pour d'autres de faire une critique de livre.'
---

**Appréciation** : :star : :star : :star : :star : :star :

**Niveau de difficulté de programmation** : faible

**Prérequis maths/statistiques** : faible

**Niveau** : facile

# Résumé

Cette critique de livre est un exemple pour d'autres de faire une critique de livre.

# Critique

Ici, on écrirait la critique du livre. Nous pourrions parler de ce que nous avons aimé, de ce que nous n'avons pas aimé et d'autres choses intéressantes.
2 changes: 1 addition & 1 deletion content/bookshelf/_index.en.md
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title = "Bookshelf"
type = "book review"
date = "2020-01-03"
+++
+++
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---
title: 'Book Review: An Introduction to Statistical Learning'
author: 'Christopher Blier-Wong'
description: 'Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani'
date: '2019-01-06'
type: 'bookshelf'
tags: ['Machine Learning', 'Statistics', 'Textbook', 'R']
slug: islr
summary: 'This book is mostly interested in supervised learning, the task of
using statistical models to predict the relationship between
predictors and a response. Given there is a function $f$ that
provides a relationship between explanatory variables $X$ and a
response variable $Y$, what are statistical methods for estimating
$f$.'
---

**Ranking**: :star: :star: :star: :star: :star:

**Coding prerequisites**: low

**Math/stats prerequisites**: low

**Level**: easy

# Summary

This book is mostly interested in supervised learning, the task of
using statistical models to predict the relationship between
predictors and a response. Given there is a function $f$ that
provides a relationship between explanatory variables $X$ and a
response variable $Y$, what are statistical methods for estimating
$f$.

# Review

There are two steps in the education of a data scientist :
understanding statistical models, and putting them in practice.
This book definitely helps on the practice part, assuming little
mathematical or statistical knowledge from the reader. This book
is a great companion to it's big brother, The Elements of Statistical
Learning. First of all, R is a great language to start with
statistical learning as it's really easy to manipulate data.

Exercices are simple but labs are great for understanding and as a
way to

I particularly liked their chapter 5, treating resampling methods.
Most of us know what $k$-fold cross validation is, but how and why
it works isn't understood by all. This chapter helps us understand
the bias-variance tradeoff for the choice of $k$ in the method. This
is an example of a situation does not only show the method, but
also examines their statistical properties, something not all machine
learning books do.
Original file line number Diff line number Diff line change
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---
title: 'Critique de livres : Un exemple'
author: 'David Beauchemin et Annie Deshaies'
description: 'Jon Doe et Jone Doe'
date: '2021-03-09'
type: 'bookshelf'
tags: ['apprentissage automatique', 'tags2', 'tags3', 'Python']
slug: exemple
summary: 'Cette critique de livre est un exemple pour d'autres de faire une critique de livre.'
---

**Appréciation** : :star : :star : :star : :star : :star :

**Niveau de difficulté de programmation** : faible

**Prérequis maths/statistiques** : faible

**Niveau** : facile

# Résumé

Cette critique de livre est un exemple pour d'autres de faire une critique de livre.

# Critique

Ici, on écrirait la critique du livre. Nous pourrions parler de ce que nous avons aimé, de ce que nous n'avons pas aimé et d'autres choses intéressantes.
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17 changes: 17 additions & 0 deletions layouts/bookshelf/content-list.html
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<article class="post">
{{ .Render "header" }}
{{ .Render "featured" }}
{{ .Summary }}

<div style="margin-top: 20px;">
{{ $.Scratch.Set "ranking" ((delimit (findRE "<p.*?>(.|\n)*?</p>" .Content 1) "") | truncate (default 500) (default "&hellip;" .Site.Params.text.truncated ) | replaceRE "&amp;" "&" | safeHTML) }}
{{ $.Scratch.Get "ranking" }}
</div>

<footer>
<ul class="actions">
<li><a href="{{ .RelPermalink }}" class="button big">{{ i18n "read_more" }}</a></li>
</ul>
{{ partial "footer-category" . }}
</footer>
</article>
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38 changes: 38 additions & 0 deletions layouts/bookshelf/header.html
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<header>
<div class="title">
{{ if $.Scratch.Get "h1" }}
<h1><a href="{{ .RelPermalink }}">{{ .Title }}</a></h1>
{{ $.Scratch.Set "h1" false }}
{{ else }}
<h2><a href="{{ .RelPermalink }}">{{ .Title }}</a></h2>
{{ end }}
{{ with .Description }}
<p>{{ . }}</p>
{{ end }}
</div>
<div class="meta">
{{if eq .Site.Language.Lang "fr"}}
{{ $monthFr := index $.Site.Data.mois.mois }}
<time class="published" datetime="{{ .Date }}">
{{ .Date.Day }}
{{ index $monthFr (printf "%d" .Date.Month) }}
{{ .Date.Year }}
</time>
{{ else }}
<time class="published" datetime="{{ .Date }}"> {{ dateFormat "January 2, 2006" .Date }} </time>
{{ end }}

<span class="author">{{ .Params.author | safeHTML }}</span>
{{ if .Params.reading_time }}
<p>
{{ .Params.reading_time }}
{{ i18n "postreadingtime" }}
</p>
{{ else }}
<p>
{{ .ReadingTime }}
{{ i18n "postreadingtime" }}
</p>
{{ end }}
</div>
</header>
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