{"id":3236,"date":"2020-03-16T23:15:46","date_gmt":"2020-03-16T23:15:46","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=3236"},"modified":"2020-03-16T23:20:20","modified_gmt":"2020-03-16T23:20:20","slug":"best-links-of-the-week-60","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/03\/16\/best-links-of-the-week-60\/","title":{"rendered":"Best links of the week #60"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 9th March to 15th March<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Testes Diagn\u00f3sticos (Bioestat\u00edstica)<\/a> at Prof. Dr. Enrico Colosimo personal website<\/a>.<\/li>
  2. Bayes\u2019 Rule for Clinicians: An Introduction<\/a> published in Frontiers in Psychology.<\/a><\/li>
  3. Zencastr: High fidelity podcasting<\/a>.<\/li>
  4. Do you (want to) use RAIS, the Brazilian matched employer-employee dataset? Let me save you some months of painful data cleaning work<\/a>.<\/li>
  5. Extrator de dados hist\u00f3ricos do coronav\u00edrus no Brasil<\/a>.<\/li>
  6. Projetos com dados abertos no Github<\/a>.<\/li>
  7. Quer acessar dados do INEP, mas n\u00e3o sabe como?<\/a><\/li>
  8. Visualizing the History of Pandemics<\/a>.<\/li>
  9. COVID-19 Open Research Dataset (CORD-19)<\/a>.<\/li>
  10. Modeling COVID-19 Spread vs Healthcare Capacity<\/a>.<\/li>
  11. Tech4Covid19: em 48 horas, 600 portugueses juntaram-se para criar 12 ferramentas contra o coronav\u00edrus<\/a>.<\/li>
  12. slide transitions for xaringan<\/a>.<\/li>
  13. What Great Data Analysts Do \u2014 and Why Every Organization Needs Them<\/a> at Harvard Business Review<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog posts<\/h4>\n\n\n\n
    1. Why not to use two axes, and what to use instead<\/a> at Chartable<\/a>.<\/li>
    2. #FlattenTheCurve<\/a> at Chartable<\/a>.<\/li>
    3. 17 responsible live visualizations about the coronavirus, for you to use<\/a> at Chartable<\/a>.<\/li>
    4. It is not the number<\/strong> of cases and deaths that matters. It is their growth rate<\/strong> that matters<\/a> at Max Roser’s Twitter<\/a>.<\/li>
    5. Turning Vim Into An R IDE<\/a> by Kade Killary at freeCodeCamp<\/a>.<\/li>
    6. 10 essential Vim plugins for 2018<\/a> at Alex Hunt’s Medium<\/a>.<\/li>
    7. Data-Driven? Think again<\/a> by Cassie Kozyrkov<\/a> at Hacker Noon<\/a>.<\/li>
    8. Don\u2019t waste your time on statistics<\/a> by Cassie Kozyrkov<\/a> at Towards Data Science<\/a>.<\/li>
    9. Statistics for people in a hurry<\/a> by Cassie Kozyrkov<\/a> at Towards Data Science<\/a>.<\/li>
    10. Explaining p-values with puppies<\/a> by Cassie Kozyrkov<\/a> at Hacker Noon<\/a>.<\/li><\/ol>\n\n\n\n

      Podcast episodes<\/h4>\n\n\n\n
      1. A Matem\u00e1tica do COVID-19 \u2013 16 Coronian (Spin #855 \u2013 14\/03\/20)<\/a>.<\/li><\/ol>\n\n\n\n

        Videos<\/h4>\n\n\n\n
        1. Exerc\u00edcio 12 – Probabilidade – falso positivo e falso negativo (Resolu\u00e7\u00e3o – VUNESP)<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        2. #25 – Exemplo 18 – \u00c1rvore de Probabilidades<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        3. #27 – Exemplo 20 – \u00c1rvore de Probabilidades para eventos independentes<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        4. Exerc\u00edcio 32 – \u00e1rvore de probabilidades<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        5. Exerc\u00edcio 51 – Probabilidade – eventos dependentes – \u00e1rvore de probabilidades | Resolu\u00e7\u00e3o<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        6. Exerc\u00edcio 52 – Probabilidade – eventos dependentes – \u00e1rvore de probabilidades | Resolu\u00e7\u00e3o<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li>
        7. Exerc\u00edcio 06 – Probabilidade de faltar dinheiro | Distribui\u00e7\u00e3o Normal<\/a> at Professor Guru’s YouTube channel<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Ph.D. Scholarship in Computer and Systems Sciences AI in Education<\/a> at Stockholm University.<\/li>
          2. Research Associate\/Software Developer Position (Computer Vision)<\/a> at RISE UP.<\/li>
          3. Research Faculty (open-world learning for object classification and detection)<\/a> at the University of Colorado Colorado Springs.<\/li>
          4. Research Fellow in Natural Language Processing<\/a> at the University of Melbourne.<\/li>
          5. Fairness and Bias in Natural Language Processing – Graduate Research Expression of Interest<\/a> at the University of Melbourne.<\/li>
          6. 2 Ph.D. scholarships in the area of Bias in Artificial Intelligence<\/a> at the University of Pisa.<\/li>
          7. Ph.D. scholarships in Data Science and Systems Complexity<\/a> at the University of Groningen.<\/li>
          8. 2 Open Positions for Early-Stage Researchers Pursuing PhDs in the Area of Artificial Intelligence without Bias<\/a> at the University fo Southampton.<\/li>
          9. Professorship in Tracking e re-identification of persons for reconfiguration of a fleet of Unmanned Aerial Vehicles<\/a> at l’Universit\u00e0 Degli Studi di Udine.<\/li>
          10. Senior NLP Scientist<\/a> at Amazon.<\/li>
          11. Research Assistant\/Associate in Stochastic Modelling of Urban Structures<\/a> at the University of Cambridge.<\/li>
          12. Postdoctoral Researcher in Deep Learning for Time Series<\/a> at ETH Z\u00fcrich.<\/li>
          13. Ph.D. fellowship (Integrating remote sensing and civil engineering for intelligent infrastructure monitoring)<\/a> at the University of Cambridge.<\/li>
          14. Data Engineer<\/a> at Catho.<\/li>
          15. Analista de Business Intelligence<\/a> at Colab.
            The next opportunities (5+) are reserved for readers registered in the newsletter. By having registered, you will receive updates on the posts in the blog!
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