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<nav aria-label="Contenido"><h2>Contenido</h2>
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<li><a class="" href="index.html">Prefacio</a></li>
<li><a class="" href="pr%C3%B3logo-by-julia-silge.html">Prólogo (by Julia Silge)</a></li>
<li><a class="" href="pr%C3%B3logo-por-yanina-bellini.html">Prólogo (por Yanina Bellini)</a></li>
<li class="book-part">Ciencia, datos, software… y científicos</li>
<li><a class="" href="ciencia-datos.html"><span class="header-section-number">1</span> ¿Es la ciencia de datos una ciencia?</a></li>
<li><a class="" href="metodologia.html"><span class="header-section-number">2</span> Metodología en ciencia de datos</a></li>
<li><a class="" href="ch-110003.html"><span class="header-section-number">3</span> R para ciencia de datos</a></li>
<li><a class="" href="cap-etica.html"><span class="header-section-number">4</span> Ética en la ciencia de datos</a></li>
<li class="book-part">Bienvenidos a la jungla de datos</li>
<li><a class="" href="datos-sql.html"><span class="header-section-number">5</span> Gestión de bases de datos relacionales</a></li>
<li><a class="" href="cap-nosql.html"><span class="header-section-number">6</span> Gestión de bases de datos NoSQL</a></li>
<li><a class="" href="DGDQM.html"><span class="header-section-number">7</span> Gobierno, gestión y calidad del dato</a></li>
<li><a class="" href="cap-130009.html"><span class="header-section-number">8</span> Integración y limpieza de datos</a></li>
<li><a class="" href="chap-feature.html"><span class="header-section-number">9</span> Selección y transformación de variables</a></li>
<li><a class="" href="chap-herramientas.html"><span class="header-section-number">10</span> Herramientas para el análisis en ciencia de datos</a></li>
<li><a class="" href="cap-120006-aed.html"><span class="header-section-number">11</span> Análisis exploratorio de datos</a></li>
<li class="book-part">Fundamentos de estadística</li>
<li><a class="" href="Funda-probab.html"><span class="header-section-number">12</span> Probabilidad</a></li>
<li><a class="" href="Fundainfer.html"><span class="header-section-number">13</span> Inferencia estadística</a></li>
<li><a class="" href="muestreo.html"><span class="header-section-number">14</span> Muestreo y remuestreo</a></li>
<li class="book-part">Modelización estadística</li>
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<li><a class="" href="cap-gam.html"><span class="header-section-number">17</span> Modelos aditivos generalizados</a></li>
<li><a class="" href="cap-mxm.html"><span class="header-section-number">18</span> Modelos mixtos</a></li>
<li><a class="" href="cap-sparse.html"><span class="header-section-number">19</span> Modelos \(\textit{sparse}\) y métodos penalizados de regresión</a></li>
<li><a class="" href="cap-series-temp.html"><span class="header-section-number">20</span> Modelización de series temporales</a></li>
<li><a class="" href="cap-discriminante.html"><span class="header-section-number">21</span> Análisis discriminante</a></li>
<li><a class="" href="cap-conjunto.html"><span class="header-section-number">22</span> Análisis conjunto</a></li>
<li><a class="" href="tablas-contingencia.html"><span class="header-section-number">23</span> Análisis de tablas de contingencia</a></li>
<li class="book-part">Machine learning supervisado</li>
<li><a class="" href="cap-arboles.html"><span class="header-section-number">24</span> Árboles de clasificación y regresión</a></li>
<li><a class="" href="cap-svm.html"><span class="header-section-number">25</span> Máquinas de vector soporte</a></li>
<li><a class="" href="cap-knn.html"><span class="header-section-number">26</span> Clasificador \(k\)-vecinos más próximos</a></li>
<li><a class="" href="cap-naive-bayes.html"><span class="header-section-number">27</span> Naive Bayes</a></li>
<li><a class="" href="cap-bagg-rf.html"><span class="header-section-number">28</span> Métodos ensamblados: \(\bf \textit {bagging}\) y \(\bf \textit{random}\) \(\bf \textit{forest}\)</a></li>
<li><a class="" href="cap-boosting-xgboost.html"><span class="header-section-number">29</span> \(\bf \textit{Boosting}\) y el algoritmo XGBoost</a></li>
<li class="book-part">Machine learning no supervisado</li>
<li><a class="" href="cap-cluster.html"><span class="header-section-number">30</span> Análisis clúster: clusterización jerárquica</a></li>
<li><a class="" href="no-jerarquico.html"><span class="header-section-number">31</span> Análisis clúster: clusterización no jerárquica</a></li>
<li><a class="" href="acp.html"><span class="header-section-number">32</span> Análisis de componentes principales</a></li>
<li><a class="" href="af.html"><span class="header-section-number">33</span> Análisis factorial</a></li>
<li><a class="" href="mds.html"><span class="header-section-number">34</span> Escalamiento multidimensional</a></li>
<li><a class="" href="correspondencias.html"><span class="header-section-number">35</span> Análisis de correspondencias</a></li>
<li class="book-part">Deep learning</li>
<li><a class="" href="capNN.html"><span class="header-section-number">36</span> Redes neuronales artificiales</a></li>
<li><a class="" href="cap-redes-convol.html"><span class="header-section-number">37</span> Redes neuronales convolucionales</a></li>
<li class="book-part">Ciencia de datos de texto y redes</li>
<li><a class="" href="mineria-textos.html"><span class="header-section-number">38</span> Minería de textos</a></li>
<li><a class="" href="grafos.html"><span class="header-section-number">39</span> Análisis de grafos y redes sociales</a></li>
<li class="book-part">Ciencia de datos espaciales</li>
<li><a class="" href="datos-espaciales.html"><span class="header-section-number">40</span> Trabajando con datos espaciales</a></li>
<li><a class="" href="geo.html"><span class="header-section-number">41</span> Geoestadística</a></li>
<li><a class="" href="cap-econom-esp.html"><span class="header-section-number">42</span> Modelos econométricos espaciales</a></li>
<li><a class="" href="cap-pp.html"><span class="header-section-number">43</span> Procesos de puntos</a></li>
<li class="book-part">Comunica y colabora</li>
<li><a class="" href="cap-120007-informes.html"><span class="header-section-number">44</span> Informes reproducibles con R Markdown y Quarto</a></li>
<li><a class="" href="shiny.html"><span class="header-section-number">45</span> Creación de aplicaciones web interactivas con Shiny</a></li>
<li><a class="" href="github.html"><span class="header-section-number">46</span> Git y GitHub R</a></li>
<li><a class="" href="geoproces.html"><span class="header-section-number">47</span> Geoprocesamiento en nube</a></li>
<li class="book-part">Casos de estudio en ciencia de datos</li>
<li><a class="" href="cap-crimen.html"><span class="header-section-number">48</span> Análisis de una red criminal</a></li>
<li><a class="" href="cap-publicidad.html"><span class="header-section-number">49</span> Optimización de inversiones publicitarias</a></li>
<li><a class="" href="cap-twitter.html"><span class="header-section-number">50</span> ¿Cómo tuitea Elon Musk?</a></li>
<li><a class="" href="cap-periodismo.html"><span class="header-section-number">51</span> Análisis electoral: de RStudio a su periódico favorito</a></li>
<li><a class="" href="paro-clm.html"><span class="header-section-number">52</span> El impacto de las crisis financiera y de la COVID-19 en el paro de CLM</a></li>
<li><a class="" href="cap-rfm.html"><span class="header-section-number">53</span> Segmentación de clientes en el comercio minorista</a></li>
<li><a class="" href="cap-medicina.html"><span class="header-section-number">54</span> Análisis de datos en medicina</a></li>
<li><a class="" href="cap-futbol.html"><span class="header-section-number">55</span> Messi y Ronaldo: dos ídolos desde la perspectiva de los datos</a></li>
<li><a class="" href="cambioclimatico.html"><span class="header-section-number">56</span> Una nota sobre el cambio climático</a></li>
<li><a class="" href="cap-sist-exp.html"><span class="header-section-number">57</span> Implementación de un sistema experto en el ámbito pediátrico</a></li>
<li><a class="" href="cap-ree.html"><span class="header-section-number">58</span> Predicción de consumo eléctrico con redes neuronales artificiales</a></li>
<li><a class="" href="nlp-textil.html"><span class="header-section-number">59</span> El procesamiento del lenguaje natural para tendencias de moda en textil</a></li>
<li><a class="" href="cap-fraude.html"><span class="header-section-number">60</span> Detección de fraude de tarjetas de crédito</a></li>
<li class="book-part">Appendix</li>
<li><a class="" href="info-session.html"><span class="header-section-number">A</span> Información de la sesión</a></li>
<li><a class="" href="referencias.html">Referencias</a></li>
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<p>"<strong>Fundamentos de ciencia de datos con <strong>R</strong></strong>" coordinado por <a href="https://blog.uclm.es/gemafaviles/" class="text-light">Gema Fernández-Avilés y José-María Montero</a>. </p>
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