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Próxima revisión 		Revisión previa
clase:iabd:pia:documentacion [2022/03/29 17:00]
admin [Regresión logística] 		clase:iabd:pia:documentacion [2024/03/31 21:36] (actual)
admin [Estadística Bayesana]
Línea 81: Línea 81:
   * [[https://towardsdatascience.com/transformers-explained-visually-not-just-how-but-why-they-work-so-well-d840bd61a9d3|Transformers Explained Visually — Not just how, but Why they work so well]]   * [[https://towardsdatascience.com/transformers-explained-visually-not-just-how-but-why-they-work-so-well-d840bd61a9d3|Transformers Explained Visually — Not just how, but Why they work so well]]
   * [[https://samarthagrawal86.medium.com/feature-engineering-of-datetime-variables-for-data-science-machine-learning-45e611c632ad|Feature Engineering of DateTime Variables for Data Science, Machine Learning, Python]]   * [[https://samarthagrawal86.medium.com/feature-engineering-of-datetime-variables-for-data-science-machine-learning-45e611c632ad|Feature Engineering of DateTime Variables for Data Science, Machine Learning, Python]]
 +
 +
 +===== Lenguaje Natural =====
 +  * [[https://paperswithcode.com/method/bert|BERT]]
 +  * [[https://www.codificandobits.com/blog/bert-en-el-natural-language-processing/|BERT: el inicio de una nueva era en el Natural Language Processing]]
 +
 +Word Embedding Castellano:
 +  * [[https://github.com/aitoralmeida/spanish_word2vec]]
 +  * [[https://www.kaggle.com/rtatman/pretrained-word-vectors-for-spanish]]
 +  * [[https://github.com/dccuchile/spanish-word-embeddings]]
 +  * [[https://crscardellino.ar/SBWCE/]]
  
  
Línea 105: Línea 116:
   * [[https://rohit10patel20.medium.com/hyperparameter-search-using-bayesian-optimization-and-an-evolutionary-algorithm-bdca6331de1c|Hyperparameter search using Bayesian Optimization and an Evolutionary Algorithm]]   * [[https://rohit10patel20.medium.com/hyperparameter-search-using-bayesian-optimization-and-an-evolutionary-algorithm-bdca6331de1c|Hyperparameter search using Bayesian Optimization and an Evolutionary Algorithm]]
   * [[https://towardsdatascience.com/how-to-use-horovods-large-batch-simulation-to-optimize-hyperparameter-tuning-for-highly-a815c4ab1d34|How to Use Horovod’s Large Batch Simulation to Optimize Hyperparameter Tuning for (Highly) Distributed Training]]   * [[https://towardsdatascience.com/how-to-use-horovods-large-batch-simulation-to-optimize-hyperparameter-tuning-for-highly-a815c4ab1d34|How to Use Horovod’s Large Batch Simulation to Optimize Hyperparameter Tuning for (Highly) Distributed Training]]
-  * Teorema de Bayes 
-    * [[https://seeing-theory.brown.edu/bayesian-inference/es.html|Viendo la Teoría - Inferencia Bayesiana]] 
-    * [[https://datascience.com.co/c%C3%B3mo-funciona-la-inferencia-bayesiana-dc4ad29d4697|¿Cómo funciona la inferencia bayesiana?]] 
-    * [[https://distill.pub/2020/bayesian-optimization/|Exploring Bayesian Optimization]]: Muy buena explicación de la optimización Bayesiana 
-    * [[https://picanumeros.wordpress.com/2021/04/18/la-estadistica-detras-del-rescate-de-la-bomba-de-palomares/|La estadística detrás del rescate de la bomba de Palomares]] 
-    * [[https://towardsdatascience.com/bayes-theorem-the-holy-grail-of-data-science-55d93315defb|Bayes’ Theorem: The Holy Grail of Data Science]] 
-    * [[https://towardsdatascience.com/probability-learning-ii-how-bayes-theorem-is-applied-in-machine-learning-bd747a960962|Probability Learning II: How Bayes’ Theorem is applied in Machine Learning]] 
-    * {{ :clase:iabd:pia:a_gentle_introduction_to_bayesian_analysis.applications_to_development_research.pdf|A Gentle Introduction to Bayesian Analysis.Applications to Development Research}}  
  
 +
 +===== Estadística Bayesana =====
 +
 +  * [[https://seeing-theory.brown.edu/bayesian-inference/es.html|Viendo la Teoría - Inferencia Bayesiana]]
 +  * [[https://datascience.com.co/c%C3%B3mo-funciona-la-inferencia-bayesiana-dc4ad29d4697|¿Cómo funciona la inferencia bayesiana?]]
 +  * [[https://distill.pub/2020/bayesian-optimization/|Exploring Bayesian Optimization]]: Muy buena explicación de la optimización Bayesiana
 +  * [[https://picanumeros.wordpress.com/2021/04/18/la-estadistica-detras-del-rescate-de-la-bomba-de-palomares/|La estadística detrás del rescate de la bomba de Palomares]]
 +  * [[https://towardsdatascience.com/bayes-theorem-the-holy-grail-of-data-science-55d93315defb|Bayes’ Theorem: The Holy Grail of Data Science]]
 +  * [[https://towardsdatascience.com/probability-learning-ii-how-bayes-theorem-is-applied-in-machine-learning-bd747a960962|Probability Learning II: How Bayes’ Theorem is applied in Machine Learning]]
 +  * {{ :clase:iabd:pia:a_gentle_introduction_to_bayesian_analysis.applications_to_development_research.pdf|A Gentle Introduction to Bayesian Analysis.Applications to Development Research}} 
 +
 +
 +
 +
 +
 +  * {{ :clase:iabd:pia:doing_bayesian_data_analysis.pdf |Doing Bayesian Data Analysis:A Tutorial with R, JAGS,and Stan}}
 +    * [[http://doingbayesiandataanalysis.blogspot.com/2013/08/how-much-of-bayesian-posterior.html|How much of a Bayesian posterior distribution falls inside a region of practical equivalence (ROPE)]]
 +    * {{ :clase:iabd:pia:bayesian_estimation_supersedes_the_t_test.pdf|Bayesian Estimation Supersedes the t Test (PDF)}}
 +      * [[https://jkkweb.sitehost.iu.edu/BEST/|Bayesian estimation supersedes the t test]]
 +      * [[https://www.sumsar.net/best_online/|Bayesian Estimation Supersedes the t-test (BEST)]]: Online tool
 +      * [[https://xianblog.wordpress.com/2016/12/05/bayesian-parameter-estimation-versus-model-comparison/|Bayesian parameter estimation versus model comparison]]: Critica de "Bayesian estimation supersedes the t test"
  
  
Línea 350: Línea 374:
 </sxh> </sxh>
  
 +===== Calculo de errores =====
 +  * {{ :clase:iabd:pia:2eval:propagacion_de_errores.pdf |Propagación de errores}}
 +  * {{ :clase:iabd:pia:2eval:guia_practica_para_la_realizacion_de_la_medida_y_el_calculo_de_errores.pdf |Guía práctica para la realización de la medida y el cálculo de errores}}
  
 ===== Hardware ===== ===== Hardware =====
clase/iabd/pia/documentacion.1648566045.txt.gz · Última modificación: 2022/03/29 17:00 por admin

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