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11 changes: 5 additions & 6 deletions
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content/archive/external/rubenfcasal-github-io-aprendizaje-estadistico.md
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title: "Aprendizaje Estadístico" | ||
title: "Métodos predictivos de aprendizaje estadístico" | ||
author: "Rubén Fernández Casal ([email protected]), Julián Costa Bouzas ([email protected]), Manuel Oviedo de la Fuente ([email protected])" | ||
date: "" | ||
tags: [Github] | ||
link: "https://rubenfcasal.github.io/aprendizaje_estadistico/" | ||
length_weight: "7.7%" | ||
repo: "rubenfcasal/aprendizaje_estadistico" | ||
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repo: "rubenfcasal/book_mpae" | ||
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Apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. [...] Este libro contiene los apuntes de la asignatura de Aprendizaje Estadístico del Máster en Técnicas Estadísticas. Este libro ha sido escrito en R-Markdown empleando el paquete bookdown y está disponible en el repositorio Github: rubenfcasal/aprendizaje_estadistico. | ||
Se puede acceder a la versión en línea a través del siguiente enlace: https://rubenfcasal.github.io/aprendizaje_estadistico. donde puede descargarse en formato pdf. Para ejecutar los ejemplos mostrados en el libro sería necesario tener ... | ||
Métodos predictivos de aprendizaje estadístico con R. [...] Bienvenido a la versión online del libro “Métodos predictivos de aprendizaje estadístico” editado por el Servicio de Publicaciones de la UDC. Puede adquirir una copia impresa a través de su librería habitual1. | ||
Este libro también está disponible en acceso abierto, de forma gratuita, en formato pdf. NOTA: El libro aún está en la última etapa del proceso de publicación. Confiamos en que estará disponible próximamente. Para citar el libro o esta web en publicaciones puede emplear: o en formato BibTeX: Esta página web está bajo una ... |
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content/archive/external/tidy-survey-r-github-io-tidy-survey-book.md
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title: "STM1001: Maths and Notation Summary" | ||
author: "Amanda Shaker and Rupert Kuveke" | ||
date: "2024-08-28T04:26:14Z" | ||
date: "2024-09-07T08:22:23Z" | ||
link: "https://bookdown.org/a_shaker/STM1001_Topic_0/" | ||
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STM1001: Maths and Notation Summary [...] Coming ... | ||
STM1001: Maths and Notation Summary [...] Welcome to the STM1001 Maths and Notation Summary document. This document is intended to serve as a helpful resource for you during your STM1001 studies. This book contains two chapters. The first chapter covers the foundational maths background that is required for STM1001. While this mathematical content is assumed knowledge for STM1001, you may find this chapter to be a useful refresher of particular maths topics that you will have encountered at school. For convenience, the chapter is divided into sections based on different maths concepts. So, ... |
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content/archive/internal/andrew-grant-unsupervised-learning.md
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title: "Machine Learning for Biostatistics" | ||
author: "Armando Teixeira-Pinto & Jaroslaw Harezlak" | ||
date: "2024-07-12T02:43:09Z" | ||
tags: [Machine Learning, Statistics] | ||
link: "https://bookdown.org/andrew_grant/Unsupervised-learning/" | ||
length_weight: "3.8%" | ||
pinned: false | ||
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Machine Learning for Biostatistics [...] Supervised learning, in machine learning, refers to methods that are applied | ||
when we want to estimate the function \(f(X)\) | ||
that relates a group of predictors \(X\) to a measured outcome \(Y\). | ||
Unsupervised learning refers to methods that learn from the data but | ||
there is no observed outcome. In this module, we will cover several unsupervised learning methods, namely | ||
principal components analysis, k-means clustering and hierarchical clustering. By the end of this module you should be able to: The dataset fat is available in the library(faraway). You have to ... |
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content/archive/internal/content-6c2cd60d-5938-4509-8721-88186c2820f7.md
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--- | ||
title: "Guidelines for Communicating Epidemiology and Public Health" | ||
author: "Genomic Epidemiology Program, Kansas Department of Health and Environment" | ||
date: "2024-09-12T01:36:17Z" | ||
tags: [Guide, Epidemiology] | ||
link: "https://bookdown.org/content/6c2cd60d-5938-4509-8721-88186c2820f7/" | ||
length_weight: "5.2%" | ||
pinned: false | ||
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This manual shares evidenced-based guidelines for communicating epidemiology to the public. [...] You can download the PDF version of the document here: Download PDF This guidebook is intended to be a living document and will be updated as our guidance evolves. Changes will be explicitly noted in a version log. Guidelines for Communicating Epidemiology and Public Health © 2024 by KDHE Genomic Epidemiology Program is licensed under CC BY-NC-SA 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/ The material from the Duke University Graduate School ... |
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4 changes: 2 additions & 2 deletions
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content/archive/internal/edsaul-perez-bioestadaistica-avanzada.md
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title: "Introduction to Pure Mathematics" | ||
author: "Florian Bouyer and John Mackay" | ||
date: "2024-09-06T12:34:43Z" | ||
tags: [Course] | ||
link: "https://bookdown.org/f_j_s_c_bouyer/lecture_notes/" | ||
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Introduction to Pure Mathematics [...] A mathematical theory is not to be considered complete until you have made it so clear that you can explain it to the first man whom you meet on the street. – David Hilbert – Proofs are at the heart of mathematics, distinguishing what we know is mathematically true (or untrue) from what we still don’t know. The first aim of this course is to see different types of proofs and mathematical reasoning, and learning how to make your own mathematical arguments. Reading proofs will develop our critical thinking, e.g., how does this sentence follow from the ... |
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content/archive/internal/ggiaever-2024-intror-and-rstudio.md
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title: "Applied Omics Science for Drug Discovery and Development" | ||
author: "ggiaever" | ||
date: "2024-09-12T01:29:11Z" | ||
tags: [Course] | ||
link: "https://bookdown.org/ggiaever/2024_IntroR_and_RStudio/" | ||
length_weight: "1.4%" | ||
cover: "https://bookdown.org/ggiaever/2024_IntroR_and_RStudio/img/koos10.png" | ||
repo: "gurinina/2024_IntroR_and_RStudio" | ||
pinned: false | ||
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Applied Omics Science for Drug Discovery and Development [...] The lab module includes four sections: This course will cover several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research as it relates to genomics and the omic sciences. For the bulk of the course we cover topics related to genomics and high-dimensional data. Here we cover experimental techniques used in genomics including RNA-seq and variant analysis. We start with an introduction to R, including data structures, data wrangling and plotting methods. We then we walk you ... |
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title: "R语言在心理学研究中的应用: 从原始数据到可重复的论文手稿(V2)" | ||
author: "胡传鹏" | ||
date: "2024-08-29T04:01:07Z" | ||
tags: [数据分析, Github, Tidyverse] | ||
author: "胡传鹏(等)" | ||
date: "2024-09-12T01:08:39Z" | ||
tags: [Github] | ||
link: "https://bookdown.org/hcp4715/R4PsyBook/" | ||
length_weight: "100%" | ||
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课程bookdown [...] 第一讲:为什么要学习R | ||
1.1 R在心理科学及社会科学中的运用 | ||
1.2 R语言使用的示例展示 | ||
1.3 课程安排 | ||
1.4 如何学好这门课 第二讲:如何开始使用R | ||
2.1 要解决的数据分析问题简介[介绍我们的数据和拟解决的问题,对比R和传统flow] | ||
2.1 如何安装? | ||
2.2 如何方便使用?Rstudio的安装与界面介绍 第三章:如何使用本课件/电子书资源 | ||
3.1 Git与Github | ||
3.2 项目、文件与代码的规范化 第四章:如何导入数据 | ||
4.1 路径与工作目录 | ||
4.2 读取数据 | ||
4.3 了解R里的数据 (R语言中的对象) 第五章:如何清理数据一 R语言编程基础 | ||
5.1 R对象的操控 | ||
5.2 逻辑运算 | ||
5.3 函数 第六章:如何清理数据二 数据的预处理 | ||
6.1 Tidyverse简介 | ||
6.2 问卷数据的预处理:基本 | ||
6.3 ... | ||
课程bookdown [...] 本电子书通过bookdown进行创建,相关代码见这里。由于文字稿来自于对课堂录音的整理,完全由本人与志愿者以志愿方式进行整理,因此,可能存在如下问题: 望读者朋友多多包涵。欢迎有兴趣有能力的朋友多多批评指正。 | ||
指出问题的方式:在本电子书的GitHub仓库的issues中开新的issue。 | ||
参与贡献方式:见下面《如何帮助完善本书》这一小节。 分享知识,向众多开源的电子书作者致敬,为中文网络世界中的R语言相关教材略尽绵薄之力。 可以参考这个英文的教程,我们暂时还没有进行中文翻译,您也可以将这部分补充,这也是极大的贡献! 可能需要的前期知识:(1) 如何使用github;(2) 如何使用bookdown。 大致可以分成如下几步: 第一,创建github账号,然后fork这个项目。 | ||
第二,将fork后的 ... |
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