{"id":2586,"date":"2020-01-13T05:46:20","date_gmt":"2020-01-13T05:46:20","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2586"},"modified":"2020-01-13T05:56:27","modified_gmt":"2020-01-13T05:56:27","slug":"best-links-of-the-week-51","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/01\/13\/best-links-of-the-week-51\/","title":{"rendered":"Best links of the week #51"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 6th January to 12th January<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

I’m on vacations so don’t expect a lot of links in the following releases \ud83d\ude42<\/h4>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Universal approximation theorem<\/a> at Wikipedia.<\/li>
  2. No free lunch theorem<\/a> at Wikipedia.<\/li>
  3. What\u2019s Lost When Research Is Driven Primarily by Funding<\/a> at Scientific American<\/a>.<\/li>
  4. How the Internet Travels Across Oceans<\/a> at the New York Times<\/a>.<\/li>
  5. Huawei\u2019s Linux Distribution openEuler is Available Now!<\/a> at It’s FOSS<\/a>.<\/li>
  6. The Unstoppable Rise of Sci-Hub: How does a new generation of researchers perceive Sci-Hub?<\/a> at LSE Impact Blog<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Fizz Buzz in Tensorflow<\/a> at Joel Grus<\/a>.<\/li>
    2. Positivity: what it is and why it matters for data science<\/a> at Ellie Murray<\/a>‘s Medium.<\/li>
    3. Adherence adjustment in randomized trials is possible, here\u2019s why<\/a> at Ellie Murray<\/a>‘s Medium.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Why humans run the world<\/a> by Yuval Noah Harari at TED’s YouTube Channel<\/a>.<\/li>
      2. Bayes theorem, and making probability intuitive<\/a> at 3Blue1Brown<\/a> YouTube Channel.<\/li>
      3. The quick proof of Bayes’ theorem<\/a> at 3Blue1Brown<\/a> YouTube Channel.<\/li>
      4. Como se livrar das caixas pretas e ter mais confian\u00e7a nos modelos<\/a> by Prof. Vin\u00edcius Galv\u00e3o at EstaTiDados<\/a> YouTube Channel.<\/li><\/ol>\n\n\n\n

        Podcast episodes<\/h4>\n\n\n\n
        1. Doutorando e Pesquisador em Bioinform\u00e1tica na Sorbonne em Paris, Fran\u00e7a at Carreira sem Fronteiras #47<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Chair in Machine Learning (Full or Associate professor)<\/a> at the Universiteit van Amsterdam.<\/li>
          2. Post-doctoral Fellowship in Computational Statistics<\/a> at FAPESP.<\/li>
          3. Arquiteto de Dados<\/a> at CINQ Technologies.<\/li>
          4. Data Engineer<\/a> at Cora.<\/li>
          5. Cientista de Dados (Vis\u00e3o Computacional)<\/a> at Kognita Lab.<\/li>
          6. Data Scientist \/ Machine Learning Engineer<\/a> at DAITAN.<\/li>
          7. Senior Data Scientist Researcher (Ph.D. Level)<\/a>.<\/li>
          8. Job offer for professionals holding a Ph.D. in Data Science<\/a>.<\/li>
          9. Job offer in behavior modeling for professionals holding a Ph.D. in Data Science<\/a>.<\/li>
          10. Assistant or Associate Professor of Computer Science<\/a> at Iowa State University.<\/li>
          11. Assistant Professor in Human-Computer Interaction, Design, and Music (Tenure-track)<\/a> at New York University.<\/li>
          12. Research Fellow of Machine Learning<\/a> at University of Tartu.<\/li>
          13. Research Fellow in Databases for Artificial Intelligence<\/a> at KU Leven.<\/li>
          14. Lecturer\/Associate Professor in Machine Learning<\/a> at UCL.<\/li>
          15. Several Ph.D. opportunities in the TALENT Doctoral Fellowship Programme<\/a> at the University of Copenhagen.
            The next opportunities are reserved for readers registered in the newsletter. By having registered, you will receive updates on the posts in the blog!
            \n
            \n\n