{"id":2743,"date":"2020-02-11T00:06:09","date_gmt":"2020-02-11T00:06:09","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2743"},"modified":"2020-02-11T00:07:33","modified_gmt":"2020-02-11T00:07:33","slug":"best-links-of-the-week-55","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/02\/11\/best-links-of-the-week-55\/","title":{"rendered":"Best links of the week #55"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 3rd February to 9th February<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Collection of 79 attributes from Brazilian Cities<\/a> at Giovanna Badar\u00f3<\/a>‘s GitHub. <\/li>
  2. Do androids dream of big data domination?<\/a> at Times Higher Education<\/a>.<\/li>
  3. Robot \u201cScientist\u201d Helps Discover New Ingredient for Antimalarial Drug<\/a> at Futurism<\/a>.<\/li>
  4. Is your Research Software Correct?<\/a> at Mike Croucher’s GitHub page<\/a>.<\/li>
  5. The long road to fairer algorithms<\/a> at Nature<\/a>.<\/li>
  6. Someone Used Neural Networks To Upscale An 1895 Film To 4K 60 FPS, And The Result Is Really Quite Astounding<\/a> at Digg<\/a>.<\/li>
  7. List Of 20 Common Thesis Defense Questions You Should Be Prepared For<\/a> at ARTISTSWITHAVISION<\/a>.<\/li>
  8. People will not trust unkind science<\/a> by Gail Cardew at Nature<\/a>.<\/li>
  9. Scientific method: Statistical errors<\/a> by Regina Nuzzo at Nature<\/a>.<\/li>
  10. Psychology journal bans P<\/em> values<\/a> by Chris Woolston at Nature<\/a>.<\/li>
  11. Top tips for getting your science out there<\/a> by Craig Cormick at Nature<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog posts<\/h4>\n\n\n\n
    1. Four Big Dataviz Myths, Busted<\/a> by Alexandra Khoo<\/a> at Nightingale<\/a>.<\/li>
    2. Six Hats of Data Visualization<\/a> by Saurabh Singhal<\/a> at Nightingale<\/a>.<\/li>
    3. Causal Graphs in LaTex because powerpoint graphs suck<\/a> at Daniel Kumor’s Blog<\/a>.<\/li>
    4. Why do we need causality in data science?<\/a> by Aleix Ruiz de Villa<\/a> at Towards Data Science<\/a>.<\/li>
    5. Use causal graphs!<\/a> by Aleix Ruiz de Villa<\/a> at Towards Data Science<\/a>.<\/li>
    6. Observing is not intervening<\/a> by Aleix Ruiz de Villa<\/a> at Towards Data Science<\/a>.<\/li>
    7. Solving Simpson\u2019s Paradox<\/a> by Aleix Ruiz de Villa<\/a> at Towards Data Science<\/a>.<\/li>
    8. The Twitter Data Scientist Interview<\/a> by Jay Fang<\/a> at Towards Data Science<\/a>.<\/li>
    9. Research should not stop with the research paper<\/a> at Daniel Lemire’s blog<\/a>.<\/li><\/ol>\n\n\n\n

      Podcasts<\/h4>\n\n\n\n
      1. Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI<\/a> at Artificial Intelligence Podcast<\/a>.<\/li><\/ol>\n\n\n\n

        Videos<\/h4>\n\n\n\n
        1. Causal Inference Bootcamp videos<\/a> at Duke University Mod\u2022U: Powerful Concepts in Social Science’s YouTube channel<\/a>.<\/li>
        2. Regular Expressions<\/a> at Computerphile’s YouTube channel<\/a>.<\/li>
        3. Using Regular Expressions<\/a> at Computerphile’s YouTube channel<\/a>.<\/li>
        4. Regression to the mean<\/a> at Veritasium<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Data Scientist<\/a> at Nubank.<\/li>
          2. Desenvolvedor Front-end S\u00eanior<\/a> at iClinic.<\/li>
          3. V\u00e1rias oportunidades em dados, engenharia e infra<\/a> at Cetax.<\/li>
          4. Engenheiro de Dados<\/a> at HBSIS.<\/li>
          5. Machine Learning Engineer<\/a> at Rappi.<\/li>
          6. Data Scientist – Portfolio Strategy<\/a> at Loft.<\/li>
          7. Data Scientist – Valuation Systems<\/a> at Loft.<\/li>
          8. Decision Scientist – Portfolio Strategy<\/a> at Loft.<\/li>
          9. Senior Data Engineer<\/a> at Tally.<\/li>
          10. Postdoctoral fellowship in High-performance computing in domain-specific languages applied to seismic modeling<\/a> at UFRN.<\/li>
          11. Research Fellow in adversarial machine learning for natural language processing<\/a> at the University of Melbourne.<\/li>
          12. Ph.D. position on Geometric methods for robot learning<\/a> at Bosch center for AI.<\/li>
          13. Bioinformatician position<\/a> at the University of Nebraska-Lincoln.<\/li>
          14. Research Fellow in Deep Learning for Visual Tracking and Re-Identification from UAV<\/a> at Universit\u00e0 degli Studi di Udine.<\/li>
          15. Junior Data Scientist<\/a> at Prometeon Tyre Group.
            The next opportunities (15+) 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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