{"id":3623,"date":"2020-04-27T22:50:41","date_gmt":"2020-04-27T22:50:41","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=3623"},"modified":"2020-04-27T22:50:46","modified_gmt":"2020-04-27T22:50:46","slug":"best-links-of-the-week-66","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/04\/27\/best-links-of-the-week-66\/","title":{"rendered":"Best links of the week #66"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 20th April to 26th April<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. COVID-19 na Perspectiva Geogr\u00e1fica e Estat\u00edstica<\/a> at IBGE.<\/li>
  2. Postmortem documentation<\/a> at Wikipedia<\/a>.<\/li>
  3. Pesquisa de datasets do Google<\/a> at Dados Abertos<\/a>.<\/li>
  4. Preocupa\u00e7\u00f5es sobre abertura de dados e respostas que t\u00eam se mostrado efetivas<\/a> at Dados Abertos<\/a>.<\/li>
  5. COVID-19 Analysis Repository<\/a> at Christian S. Perone’s GitHub<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog posts<\/h4>\n\n\n\n
    1. Accountability, Core Machine Learning e Machine Learning Operations<\/a> at Flavio Cesio’s Blog<\/a>.<\/li>
    2. Machine Learning e o modelo de queijo su\u00ed\u00e7o: falhas ativas e condi\u00e7\u00f5es latentes<\/a> at Flavio Cesio’s Blog<\/a>.<\/li>
    3. Efeitos do vi\u00e9s de sele\u00e7\u00e3o amostral: um estudo de caso<\/a> at Alexandre Patriota’s Medium<\/a>.<\/li>
    4. PRECISAMOS DAS ESTAT\u00cdSTICAS DO IBGE PARA AJUDAR A VENCER O COVID-19<\/a> at Simon’s Site<\/a>.<\/li>
    5. Were 21% of New York City residents really infected with the novel coronavirus?<\/a> by Cassie Kozyrkov<\/a> at Towards Data Science<\/a>.<\/li>
    6. A Decision Scientist\u2019s 10 Dos & Don\u2019ts for COVID-19<\/a> at Towards Data Science<\/a>.<\/li>
    7. The Big Data of Big Hair<\/a> at The Pudding<\/a>.<\/li>
    8. Por que calcular vari\u00e2ncias de estimativas?<\/a> at Something Random<\/a>.<\/li>
    9. Por que \u00e9 t\u00e3o dif\u00edcil calcular vari\u00e2ncia com amostras complexas?<\/a> at Something Random<\/a>.<\/li><\/ol>\n\n\n\n

      Podcasts<\/h4>\n\n\n\n
      1. O que s\u00e3o os Preprints e como est\u00e3o sendo usados no contexto da Pandemia?<\/a> at Spin de Not\u00edcias<\/a>.<\/li><\/ol>\n\n\n\n

        Videos<\/h4>\n\n\n\n
        1. Your brain is not a Bayes net (and why that matters)<\/a> at Julia Galef<\/a>‘s YouTube channel.<\/li>
        2. The era of blind faith in big data must end<\/a> at TED Talks<\/a>.<\/li>
        3. Como praticar eficazmente… para quase qualquer coisa<\/a> TED-Ed<\/a>‘s YouTube channel.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Principal Data Scientist<\/a> at VanHack.<\/li>
          2. Cientista de Dados<\/a> at Solides.<\/li>
          3. ANALISTA DE ENGENHARIA DE DADOS<\/a> at Banco Inter.<\/li>
          4. ARQUITETO DE DADOS<\/a> at Banco Inter.<\/li>
          5. Computational Linguist<\/a> at the South African Centre for Digital Language Resources.<\/li>
          6. PROFESSORSHIP (junior\/senior): EMBODIED LEARNING MACHINES<\/a> at KU Leuven.<\/li>
          7. Open Ph.D. positions in Artificial Intelligence and Pervasive Computing<\/a> at the University of Deusto.<\/li>
          8. Postdoctoral position in Knowledge Graphs and Natural Language Processing<\/a> at Stanford University.<\/li>
          9. Postdoctoral Position in Network Analytics and Machine Learning<\/a> at Stanford University.<\/li>
          10. Computer Vision Researcher Role<\/a> at Fast Paced Startup.<\/li>
          11. Ph.D. scholarships in Artificial Intelligence and Language, Communication and the Brain<\/a> at ILCB.<\/li>
          12. Ph.D. Position in Fair AI<\/a> at Chalmers.<\/li>
          13. Postdoctoral position in Information, Fairness and Socially Beneficial AI<\/a> at Chalmers.<\/li>
          14. Two Postdoctoral Fellowship Positions in Ophthalmic Data Mining and Machine Learning<\/a> at the University of Tennessee Health Science Center.<\/li>
          15. Ph.D. position in Computer Vision in Engineering<\/a> at Bauhaus University Weimar.
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