{"id":118,"date":"2019-01-14T23:30:43","date_gmt":"2019-01-14T23:30:43","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=118"},"modified":"2019-02-19T12:47:01","modified_gmt":"2019-02-19T12:47:01","slug":"best-links-of-the-week-1","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/01\/14\/best-links-of-the-week-1\/","title":{"rendered":"Best links of the week #1"},"content":{"rendered":"Reading time: <\/span> < 1<\/span> minute<\/span><\/span>\n

Best links of the week from 7th January to 13th January.<\/h3>\n\n\n\n

Blog\/posts<\/h4>\n\n\n\n
  1. Price\u2019s Law: Why Only A Few People Generate Half Of The Results<\/a> at Darius Foroux’s blog<\/a>.<\/li>
  2. Why every data scientist shall read \u201cThe Book of Why\u201d by Judea Pearl<\/a> at Towards Data Science<\/a>.<\/li>
  3. Understanding Purposive Sampling<\/a> at ThoughtCo.,<\/a> which is a non-probability sampling<\/a>, as opposed to random sampling<\/a>. More about it here<\/a> at Research Methodology<\/a>.<\/li>
  4. Why it’s time to publish research \u201cfailures\u201d<\/a> at Elsevier Connect<\/a>.<\/li>
  5. If your journal still uses \u201cstatistical significance\u201d in 2017, retire your statistical consultant<\/a> at Miguel Hern\u00e1n’s Twitter feed<\/a>.<\/li>
  6. Todos os filmes originais Netflix, classificados do pior ao melhor<\/a> at Revista Bula<\/a>.<\/li>
  7. Links of the Week<\/a> at Marcus Nunes’ blog<\/a>, from where I took the idea to start my links of the week.<\/li>
  8. ML IS NOT SORCERY: UNDERSTANDABLE MACHINE LEARNING FEATURES WITH DEEP HAAR SCATTERING NETWORKS<\/a> at Fernando Fernandes’ blog<\/a>.<\/li><\/ol>\n\n\n\n\n

    Scientific Articles<\/h4>\n\n\n\n
    1. Cannabinoid exposure and altered DNA methylation in rat and human sperm<\/a> at Epigenetics<\/a>.<\/li>
    2. BAYESIANISM AND CAUSALITY, OR, WHY I AM ONLY A HALF-BAYESIAN<\/a> at Foundations of Bayesianism<\/a>.<\/li>
    3. Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes<\/a> at Journal of Causal Inference<\/a>.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

      Reading time: <\/span> < 1<\/span> minute<\/span><\/span>Best links of the week from 7th January to 13th January. Blog\/posts Price\u2019s Law: Why Only A Few People Generate Half Of The Results at Darius Foroux’s blog. Why every data scientist shall read \u201cThe Book of Why\u201d by Judea Pearl at Towards Data Science. Understanding Purposive Sampling at ThoughtCo., which is a non-probability sampling, as …<\/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_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_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","enabled":false},"version":2}},"categories":[8],"tags":[12,9,11,10],"class_list":["post-118","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-bayesianism","tag-causality","tag-datascience","tag-statistics"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #1 - 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\/01\/14\/best-links-of-the-week-1\/\" \/>\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 #1 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: < 1 minuteBest links of the week from 7th January to 13th January. 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Blog\/posts Price\u2019s Law: Why Only A Few People Generate Half Of The Results at Darius Foroux’s blog. Why every data scientist shall read \u201cThe Book of Why\u201d by Judea Pearl at Towards Data Science. 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