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Bookshelf maybe...? #142
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content/bookshelf/2019-01-06-an-introduction-to-statistical-learning/index.fr 2.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.' | ||
| --- | ||
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| **Ranking**: :star: :star: :star: :star: :star: | ||
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| **Coding prerequisites**: low | ||
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| **Math/stats prerequisites**: low | ||
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| **Level**: easy | ||
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| # Summary | ||
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| This book review is an example for others to do a book review. | ||
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| # Review | ||
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| Here we would write down the review of the book. Talking about what we liked, what we did not like and other interesting stuff. |
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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.' | ||
| --- | ||
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| **Appréciation** : :star : :star : :star : :star : :star : | ||
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| **Niveau de difficulté de programmation** : faible | ||
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| **Prérequis maths/statistiques** : faible | ||
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| **Niveau** : facile | ||
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| # Résumé | ||
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| Cette critique de livre est un exemple pour d'autres de faire une critique de livre. | ||
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| # Critique | ||
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| 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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| title = "Bookshelf" | ||
| type = "book review" | ||
| date = "2020-01-03" | ||
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| +++ | ||
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content/test/2019-01-06-an-introduction-to-statistical-learning/index.en.md
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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 | ||
| $f$.' | ||
| --- | ||
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| **Ranking**: :star: :star: :star: :star: :star: | ||
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| **Coding prerequisites**: low | ||
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| **Math/stats prerequisites**: low | ||
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| **Level**: easy | ||
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| # Summary | ||
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| 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 | ||
| $f$. | ||
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| # Review | ||
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| 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. | ||
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| Exercices are simple but labs are great for understanding and as a | ||
| way to | ||
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| 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. |
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content/test/2019-01-06-an-introduction-to-statistical-learning/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.' | ||
| --- | ||
|
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| **Appréciation** : :star : :star : :star : :star : :star : | ||
|
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| **Niveau de difficulté de programmation** : faible | ||
|
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||
| **Prérequis maths/statistiques** : faible | ||
|
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| **Niveau** : facile | ||
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| # Résumé | ||
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| Cette critique de livre est un exemple pour d'autres de faire une critique de livre. | ||
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| # Critique | ||
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| 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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