{"id":1404,"date":"2019-08-12T13:18:09","date_gmt":"2019-08-12T13:18:09","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1404"},"modified":"2019-08-12T13:18:19","modified_gmt":"2019-08-12T13:18:19","slug":"best-links-of-the-week-31","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/08\/12\/best-links-of-the-week-31\/","title":{"rendered":"Best links of the week #31"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\"><b>Reading time: <\/span> <span class=\"rt-time\"> 2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/b><\/span><\/span>\n<h3 class=\"wp-block-heading\">Best links of the week from 5th August to 11th August<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"282\" data-attachment-id=\"1415\" data-permalink=\"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/08\/12\/best-links-of-the-week-31\/bayes-vs-frequentist\/\" data-orig-file=\"https:\/\/i0.wp.com\/mribeirodantas.xyz\/blog\/wp-content\/uploads\/2019\/08\/bayes-vs-frequentist.png?fit=600%2C282&amp;ssl=1\" data-orig-size=\"600,282\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"bayes-vs-frequentist\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/mribeirodantas.xyz\/blog\/wp-content\/uploads\/2019\/08\/bayes-vs-frequentist.png?fit=600%2C282&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/mribeirodantas.xyz\/blog\/wp-content\/uploads\/2019\/08\/bayes-vs-frequentist.png?resize=600%2C282&#038;ssl=1\" alt=\"\" class=\"wp-image-1415\" srcset=\"https:\/\/i0.wp.com\/mribeirodantas.xyz\/blog\/wp-content\/uploads\/2019\/08\/bayes-vs-frequentist.png?w=600&amp;ssl=1 600w, https:\/\/i0.wp.com\/mribeirodantas.xyz\/blog\/wp-content\/uploads\/2019\/08\/bayes-vs-frequentist.png?resize=300%2C141&amp;ssl=1 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><figcaption>Source: <a href=\"https:\/\/twitter.com\/RevBayes\/status\/506577193804111872\">here<\/a>.<\/figcaption><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Links<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/github.com\/declaredesign\/randomizr\">randomizr: R Package for randomized experiments<\/a>.<\/li><li><a href=\"https:\/\/arbital.com\/p\/bayes_rule\/?l=1zq\">Bayes&#8217;rule: Guide (course with several different levels)<\/a>.<\/li><li><a href=\"https:\/\/gist.github.com\/fernandobarbalho\/be7a88848a645883cf97168f8ca18d2a\">Extracting Brazilian schools census data with R<\/a> at <a href=\"https:\/\/gist.github.com\/fernandobarbalho\">Fernando Barbalho&#8217;s gists<\/a>.<\/li><li><a href=\"https:\/\/gist.github.com\/fernandobarbalho\/0cf27d994e39700663551b2d14387b08\">Download all data from DATASUS (several Brazilian health-related datasets) with R<\/a> at <a href=\"https:\/\/gist.github.com\/fernandobarbalho\">Fernando Barbalho&#8217;s gists<\/a>.<\/li><\/ol>\n\n\n\n<!--more Read more-->\n\n\n\n<h4 class=\"wp-block-heading\">Blog\/posts<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/medium.com\/@laumannfelix\/statistics-probability-fundamentals-1-1325ef72f3f\">Statistics &amp; Probability: Fundamentals 1<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/medium.com\/@laumannfelix\/statistics-probability-fundamentals-2-cbb1239f9605\">Statistics &amp; Probability: Fundamentals 2<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/medium.com\/@laumannfelix\/probabilistic-graphical-models-fundamentals-16e4d5c8776a\">Probabilistic Graphical Models: Fundamentals<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/medium.com\/neuralspace\/inference-in-probabilistic-models-monte-carlo-and-deterministic-methods-eae8800ee095\">Inference in Probabilistic Models: Monte Carlo and variational methods<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/medium.com\/neuralspace\/when-machine-learning-meets-complexity-why-bayesian-deep-learning-is-unavoidable-55c97aa2a9cc\">When machine learning meets complexity: why Bayesian deep learning is unavoidable<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/medium.com\/neuralspace\/how-bayesian-methods-embody-occams-razor-43f3d0253137\">How Bayesian methods embody Occam\u2019s razor<\/a> at <a href=\"https:\/\/medium.com\/@laumannfelix?source=post_page---------------------------\">Felix Laumann<\/a>&#8216;s Medium account.<\/li><li><a href=\"https:\/\/towardsdatascience.com\/probability-learning-i-bayes-theorem-708a4c02909a\">Probability Learning I: Bayes&#8217; Theorem<\/a> at <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/li><li><a href=\"https:\/\/hackernoon.com\/general-vs-narrow-ai-3d0d02ef3e28\">General vs Narrow AI<\/a> at <a href=\"https:\/\/hackernoon.com\/\">HackerNoon<\/a>.<\/li><li><a href=\"https:\/\/towardsdatascience.com\/probability-concepts-explained-introduction-a7c0316de465\">Probability concepts explained: Introduction<\/a> by <a href=\"https:\/\/towardsdatascience.com\/@jonnybrooks04?source=post_page-----4a5db81858dc----------------------\">Jonny Brooks-Bartlett<\/a> at <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/li><li><a href=\"https:\/\/towardsdatascience.com\/probability-concepts-explained-rules-of-probability-introduction-part-2-2a9d5a1a9df4\">Probability concepts explained: Rules of probability (introduction part 2) <\/a>by <a href=\"https:\/\/towardsdatascience.com\/@jonnybrooks04?source=post_page-----4a5db81858dc----------------------\">Jonny Brooks-Bartlett<\/a> at <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/li><li><a href=\"https:\/\/towardsdatascience.com\/probability-concepts-explained-probability-distributions-introduction-part-3-4a5db81858dc\">Probability concepts explained: probability distributions (introduction part 3)<\/a> by <a href=\"https:\/\/towardsdatascience.com\/@jonnybrooks04?source=post_page-----4a5db81858dc----------------------\">Jonny Brooks-Bartlett<\/a> at <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/li><li><a href=\"https:\/\/medium.com\/@srowen\/common-probability-distributions-347e6b945ce4\">Common Probability Distributions: The Data Scientist\u2019s Crib Sheet<\/a> at <a href=\"https:\/\/medium.com\/@srowen?source=post_page-----347e6b945ce4----------------------\">Sean Owen<\/a>.<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Podcast<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/samharris.org\/podcasts\/164-cause-effect\/\">Cause &amp; Effect: A Conversation with Judea Pearl<\/a> at <a href=\"https:\/\/samharris.org\/podcast\/\">Sam Harris&#8217; Making Sense Podcast (#164)<\/a>. <\/li><li><a href=\"https:\/\/www.deviante.com.br\/podcasts\/reimagineocancer-3\/\">Fisiopatologia do C\u00e2ncer (Reimagine o C\u00e2ncer #03)<\/a> at <a href=\"https:\/\/www.deviante.com.br\/podcasts\/reimagine-o-cancer\/\">SciCast, Portal Deviante<\/a>.<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Scientific article<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371\/journal.pcbi.1007007\">Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks<\/a> at <a href=\"https:\/\/journals.plos.org\/ploscompbiol\/\">PLOS Computational Biology<\/a>.<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Videos<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/www.youtube.com\/watch?v=v7yeFfJrS5g\">Maximum Likelihood Estimation in R I<\/a> at <a href=\"https:\/\/www.youtube.com\/channel\/UCCUr096WDp86n62CXBeHlQw\">Vidya-mitra<\/a> YouTube channel.<\/li><li><a href=\"https:\/\/www.youtube.com\/watch?v=6wRWfpjx98Y\">Maximum Likelihood Estimation in R II<\/a> at <a href=\"https:\/\/www.youtube.com\/channel\/UCCUr096WDp86n62CXBeHlQw\">Vidya-mitra<\/a> YouTube channel.<\/li><li><a href=\"https:\/\/www.youtube.com\/watch?v=Dn6b9fCIUpM\">M\u00e1xima Verossimilhan\u00e7a para a Distribui\u00e7\u00e3o Normal, passo a passo!<\/a> at <a href=\"https:\/\/www.youtube.com\/channel\/UCtYLUTtgS3k1Fg4y5tAhLbw\">StatQuest with Josh Starmer<\/a>&#8216;s YouTube channel.<\/li><li><a href=\"https:\/\/www.youtube.com\/watch?v=BrK7X_XlGB8&amp;feature=youtu.be\">A visual guide to Bayesian thinking<\/a> at <a href=\"https:\/\/www.youtube.com\/channel\/UCz-RZblnhjXK_krP1jDybeQ\">Julia Galef<\/a>&#8216;s YouTube channel.<\/li><\/ol>\n\n\n\n<h4 class=\"wp-block-heading\">Positions available<\/h4>\n\n\n\n<ol class=\"wp-block-list\"><li><a href=\"https:\/\/github.com\/devfsa\/vagas\/issues\/51\">Senior Backend Developer \/ Data Engineer<\/a> at AdMobilize.<\/li><li><a href=\"https:\/\/www.pyjobs.com.br\/job\/657\/\">Cientista de Dados<\/a> at Cervejaria Ambev.<\/li><li><a href=\"https:\/\/www.linkedin.com\/jobs\/cap\/view\/1418092072\/?pathWildcard=1418092072&amp;trk=job_capjs\">Especialista de Dados<\/a> at ARPO Talent Connections.<\/li><li><a href=\"https:\/\/jobs.lever.co\/meliuz\/54635802-0619-45d9-beca-fc425038ea36\">DBA \/ Arquiteto de Banco de Dados S\u00eanior<\/a> at M\u00e9liuz.<\/li><li><a href=\"https:\/\/jobs.lever.co\/meliuz\/929dda25-128b-4ecf-9985-d2c9192457e8\">Desenvolvedor(a) Front-End S\u00eanior<\/a> at M\u00e9liuz.<\/li><li><a href=\"https:\/\/www.linkedin.com\/jobs\/view\/1278586299\/\">Desenvolvedor(a) Web Analytics<\/a> at DP6.<\/li><li><a href=\"https:\/\/www.linkedin.com\/jobs\/view\/1361263805\/\">Consultor(a) de Digital Analytics<\/a> at DP6.<\/li><li><a href=\"https:\/\/trampos.co\/oportunidades\/149725-desenvolvedor-python?locale=pt-BR\">Desenvolvedor(a) Python<\/a> at Jeitto.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/11747\/engenheiro-de-dados\/\">Engenheiro de Dados<\/a> at Resource IT.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/9699\/data-scientist-vis\u00e3o-computacional\/\">Data Scientist &#8211; Vis\u00e3o computacional<\/a> at Kognita Lab.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/10270\/data-scientist-cientista-de-dados-foco-em-nlp\/\">Data Scientist \/ Cientista de dados (foco em NLP)<\/a> at Kognita Lab.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/5358\/est\u00e1gio-em-data-science\/\">Est\u00e1gio em Data Science<\/a> at Kognita Lab.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/11736\/big-data-software-engineer\/\">Big Data Software Engineer<\/a> at Epam Systems.<\/li><li><a href=\"https:\/\/hipsters.jobs\/job\/11696\/seguran\u00e7a-da-informa\u00e7\u00e3o-prote\u00e7\u00e3o-de-dados\/\">Seguran\u00e7a da Informa\u00e7\u00e3o &#8211; Prote\u00e7\u00e3o de dados<\/a> at Beijaflore Consultoria.<\/li><li><a href=\"https:\/\/cg.sandia.gov\/psc\/applicant\/EMPLOYEE\/HRMS\/c\/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=1&amp;JobOpeningId=668357&amp;PostingSeq=1\">Research Staff Position<\/a> at Sandia National Laboratories.<\/li><li><a href=\"http:\/\/www.sfb1102.uni-saarland.de\/?page_id=249\">Ph.D. opportunity in Computational Linguistics<\/a> at Saarland University.<\/li><li><a href=\"https:\/\/jobs.oregonstate.edu\/postings\/79556\">Tenure Track Faculty Positions in Artificial Intelligence<\/a> at Oregon State University.<\/li><li><a href=\"https:\/\/www.evernote.com\/shard\/s7\/client\/snv?noteGuid=cac0e7c6-a588-44b7-9973-13a346aaf0e5\u00aceKey=6003cd24b04caf87&amp;sn=https%3A%2F%2Fwww.evernote.com%2Fshard%2Fs7%2Fsh%2Fcac0e7c6-a588-44b7-9973-13a346aaf0e5%2F6003cd24b04caf87&amp;title=PhD%2Bstudentship%2Bon%2BNLP%2Band%2Bstatistical%2Brelational%2Blearning%2B%2528University%2Bof%2BEdinburgh%2529\">Ph.D. opportunity on NLP and statistical relational learning<\/a> at the University of Edinburgh.<\/li><li><a href=\"http:\/\/bit.ly\/2YSrQ7S\">Ph.D. opportunity in Artificial Intelligence for Future Society Smart Cities<\/a> at the University of Southampton.<\/li><li><a href=\"http:\/\/www.huntscholarship.com\/2019\/08\/phd-studetnship-machine-learning-for.html\">Ph.D. opportunity in Machine Learning for Stress and Fatigue Detection in Ship Crews<\/a> at the University of Southampton.<\/li><li><a href=\"https:\/\/careers.peopleclick.com\/careerscp\/client_arm\/external\/en_US\/gateway.do?functionName=viewFromLink&amp;localeCode=en-us&amp;jobPostId=41579&amp;source=LinkedIn&amp;sourceType=NETWORKING_SITE\">Machine Learning Researcher Positions<\/a> at Arm&#8217;s&nbsp;ML&nbsp;Research Group in Austin, USA.<\/li><li><a href=\"https:\/\/usa.honda-ri.com\/intern-positions\">Several research interns\/associate positions<\/a> at Honda Research Institute.<\/li><li><a href=\"http:\/\/bit.ly\/2YZU1C4\">Research Fellow in Computer Vision<\/a> at Monash University.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\"><b>Reading time: <\/span> <span class=\"rt-time\"> 2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/b><\/span><\/span>This release of my best links of the week comes with A LOT of knowledge on bayesian reasoning and statistics. But that&#8217;s not it, there are also data for you to analyze, podcasts episodes and SEVERAL opportunities! \ud83d\ude42<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[8],"tags":[92,12,16,9,13,28,63,94,10],"class_list":["post-1404","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-bayes","tag-bayesianism","tag-cancer","tag-causality","tag-data","tag-data-science","tag-machine-learning","tag-r-packages","tag-statistics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Best links of the week #31 - The Dataist Storyteller<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/08\/12\/best-links-of-the-week-31\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best links of the week #31 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time:  2 minutesThis release of my best links of the week comes with A LOT of knowledge on bayesian reasoning and statistics. 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