{"id":4566,"date":"2021-08-03T00:15:25","date_gmt":"2021-08-02T22:15:25","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=4566"},"modified":"2021-08-03T00:16:17","modified_gmt":"2021-08-02T22:16:17","slug":"best-links-of-the-week-85","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2021\/08\/03\/best-links-of-the-week-85\/","title":{"rendered":"Best links of the week #85"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from April 20th to August 1st (sorry for the delay \ud83d\ude42 )<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/p>\n\n\n\n

  1. What is the difference between beta and correlation coefficient?<\/a> at Quora<\/a>.<\/li>
  2. Is linear regression obsolete?<\/a> at Cross Validated<\/a>.<\/li>
  3. Are linear models still useful at all?<\/a> at r\/datascience<\/a>.<\/li>
  4. Why Momentum Really Works<\/a> at Distill<\/a>.<\/li>
  5. Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?<\/a>.<\/li>
  6. Interpretable Machine Learning: A Guide for Making Black Box Models Explainable<\/a> (with even a cool session on Shapley values<\/a>).<\/li>
  7. The Open-Source Movement Comes to Medical Datasets<\/a> at Stanford HAI<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog posts<\/h4>\n\n\n\n
    1. How, When, and Why Should You Normalize \/ Standardize \/ Rescale Your Data?<\/a> at Towards AI<\/a>.<\/li>
    2. Gentle Introduction to Vector Norms in Machine Learning<\/a> at Machine Learning Mastery<\/a>.<\/li>
    3. Taleb is wrong about IQ<\/a> at jsmp’s blog<\/a>.<\/li>
    4. Ergodicity: A Simple Explanation of Ergodic vs. Non-ergodic Systems<\/a> at Taylor Pearson’s blog<\/a>.<\/li>
    5. O que os dados de votos na c\u00e2mara falam sobre os deputados federais? (depois de 2 anos de mandato)<\/a> at Caio Caminoski’s LinkedIn Profile<\/a>.<\/li>
    6. Top 10 Ideas in Statistics That Have Powered the AI Revolution<\/a> at Andrew Gelman’s Blog<\/a>.<\/li>
    7. Why convexity is the key to optimization<\/a> by NVS Yashwanth<\/a> at Towards Data Science<\/a>.<\/li>
    8. Revis\u00e3o por pares: ruim com ela, pior sem ela<\/a> at Ci\u00eancia Fundamental<\/a>.<\/li>
    9. Introducing the do-sampler for causal inference<\/a> by Adam Kelleher<\/a> and Amit Sharma<\/a> at Adam Kelleher<\/a>‘s Medium.<\/li>
    10. The Data Processing Inequality<\/a> at Adam Kelleher<\/a>‘s Medium.<\/li>
    11. What do AB tests actually measure?<\/a> at Adam Kelleher<\/a>‘s Medium.<\/li>
    12. Erro de medida e \u2018atenua\u00e7\u00e3o\u2019 dos efeitos estimados<\/a> at An\u00e1lise Real<\/a>.<\/li>
    13. Andrew Gelman was interviewed here<\/a> about a comment he submitted to Nature and was in the link above.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. MINI-LESSON: Breaking down intuitively the concept of standard deviation. Why people don’t get it<\/a> at N N Taleb\u2019s Probability Moocs<\/a> (YouTube Channel).<\/li>
      2. MINI LESSON: Correlation, the intuition. Doesn’t mean what people usually think it means<\/a> at N N Taleb\u2019s Probability Moocs<\/a> (YouTube Channel).<\/li>
      3. Intransitivity of correlation, another mistake in psychoBS<\/a> at N N Taleb\u2019s Probability Moocs<\/a> (YouTube Channel).<\/li>
      4. Medidas de ASSIMETRIA: Para que servem e como calcul\u00e1-las? – No\u00e7\u00f5es de Estat\u00edstica #9<\/a> at A Ci\u00eancia da Estat\u00edstica<\/a>.<\/li>
      5. Quais s\u00e3o as principais medidas de DISPERS\u00c3O? – No\u00e7\u00f5es de Estat\u00edstica #6<\/a> at A Ci\u00eancia da Estat\u00edstica<\/a>.<\/li>
      6. Coeficiente de CURTOSE: para que serve e como calcul\u00e1-lo? No\u00e7\u00f5es de Estat\u00edstica #10<\/a> at A Ci\u00eancia da Estat\u00edstica<\/a>.<\/li>
      7. Regression: Homoscedasticity (Every observed value has a friend) Playlist 1<\/a> at The Essence of Regression<\/a>.<\/li>
      8. Testing the Homoscedasticity and Linearity Assumptions (Playlist 1)<\/a> at The Essence of Regression<\/a>.<\/li>
      9. Multicollinearity (Playlist 1)<\/a> at The Essence of Regression<\/a>.<\/li>
      10. Causalidade de Granger: ovo, galinha e causalidade<\/a> at Prof. Diogenes S. BIDO’s YouTube Channel<\/a>.<\/li>
      11. Videos about correlation [1<\/a>, 2<\/a>, 3<\/a>, 4<\/a>, 5<\/a>, 6<\/a>, 7<\/a>, 8<\/a>, and 9<\/a>] at Prof. Diogenes S. BIDO’s YouTube Channel<\/a>.<\/li><\/ol>\n\n\n\n

        Podcasts<\/h4>\n\n\n\n
        1. Correla\u00e7\u00e3o n\u00e3o implica em causalidade (Ci\u00eancia Sem Fio #09)<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Senior Data Architect<\/a> at Amazon.<\/li>
          2. Machine Learning Engineer<\/a> at Amazon.<\/li>
          3. Data Analyst<\/a> at Renner.<\/li>
          4. Analista BI Funcional – Full time<\/a> at Cognitivo.ai.<\/li>
          5. Business Analytics (Revenue Squad)<\/a> at Petlove.<\/li>
          6. Pessoa Engenheira de Dados S\u00eanior<\/a> at Petlove.<\/li>
          7. Data Science Lead<\/a> at creditas.<\/li>
          8. Cientista de Dados S\u00eanior<\/a> at Gupy Tech.<\/li>
          9. Pessoa Engenheira de Dados J\u00fanior\/Pleno<\/a> at magnetis.<\/li>
          10. Analista de Dados S\u00eanior (Vaga Remota)<\/a> at M\u00e9liuz.<\/li>
          11. Pessoa Cientista de Dados S\u00eanior (Vaga Remota)<\/a> at M\u00e9liuz.<\/li>
          12. Pessoa Engenheira de Dados S\u00eanior ( Vaga Remota)<\/a> at M\u00e9liuz.<\/li>
          13. Tech Leader – Estrutura\u00e7\u00e3o de Dados<\/a> at Dasa EXP.<\/li>
          14. Senior Python Engineer – International Project<\/a> at Kobe.<\/li>
          15. Engenheiro de Dados III<\/a> at Grupo Botic\u00e1rio.<\/li>
          16. Data Engineer<\/a> at Mutual.<\/li>
          17. Especialista de Dados<\/a> at Z\u00e9 Delivery.<\/li>
          18. Analista de Dados<\/a> at Sa\u00fade iD.<\/li>
          19. Analista de Dados<\/a> at ASAAS.<\/li>
          20. Cientista de Dados S\u00eanior<\/a> at LogComex.<\/li>
          21. Engenheiro de Dados S\u00eanior<\/a> at LogComex.<\/li>
          22. Data Science Specialist<\/a> at Gera\u00e7\u00e3o Noverde.<\/li>
          23. Sr. Backend Developer<\/a> at Gera\u00e7\u00e3o Noverde.<\/li>
          24. Engenheiro(a) de Dados S\u00eanior<\/a> at MAGRATHEA.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

            Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>Best links of the week from April 20th to August 1st (sorry for the delay \ud83d\ude42 ) Links What is the difference between beta and correlation coefficient? at Quora. Is linear regression obsolete? at Cross Validated. Are linear models still useful at all? at r\/datascience. Why Momentum Really Works at Distill. Who Learns Better Bayesian …<\/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":[8,196,69,3],"tags":[],"class_list":["post-4566","post","type-post","status-publish","format-standard","hentry","category-bestlinks","category-causality","category-data-science","category-phd"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #85 - 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\/2021\/08\/03\/best-links-of-the-week-85\/\" \/>\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 #85 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 3 minutesBest links of the week from April 20th to August 1st (sorry for the delay \ud83d\ude42 ) Links What is the difference between beta and correlation coefficient? at Quora. 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Is linear regression obsolete? at Cross Validated. Are linear models still useful at all? at r\/datascience. Why Momentum Really Works at Distill. 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