{"id":2354,"date":"2019-12-24T04:04:00","date_gmt":"2019-12-24T04:04:00","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2354"},"modified":"2019-12-24T04:08:10","modified_gmt":"2019-12-24T04:08:10","slug":"best-links-of-the-week-48","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/12\/24\/best-links-of-the-week-48\/","title":{"rendered":"Best links of the week #48"},"content":{"rendered":"Reading time: <\/span> 4<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 2nd December to 8th December<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. What can you expect at NeurIPS 2019?<\/a> at PacktPub<\/a>.<\/li>
  2. NeurIPS 2019 Livestream<\/a>.<\/li>
  3. Is it worth attending NeurIPS if you’re not an academic?<\/a><\/li>
  4. Colliders in Epidemiology: an educational interactive web application<\/a>.<\/li>
  5. Treinamento t\u00e9cnico em Bioinform\u00e1tica com bolsa da FAPESP<\/a> at Ag\u00eancia FAPESP<\/a>.<\/li>
  6. Properties of the OLS estimator<\/a> at StatLect<\/a>.<\/li><\/ol>\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. NIPS 2017: 1st day<\/a> at Dmytro Mishkin<\/a>‘s Medium.<\/li>
    2. NIPS 2017, Day 4 (orals + symposium)<\/a> at Dmytro Mishkin<\/a>‘s Medium.<\/li>
    3. Nine things I wish I had known the first time I came to NIPS<\/a> at Jennifer Wortman Vaughan<\/a>‘s Medium (Some extra comments on this post here<\/a>).<\/li>
    4. Preparing for NeurIPS<\/a> at Keren Gu<\/a>‘s Medium.<\/li>
    5. How to NeurIPS<\/a> at Jade Abbott<\/a>‘s Medium.<\/li>
    6. How to analyze a research paper<\/a> at Jade Abbott<\/a>‘s Medium.<\/li>
    7. NeurIPS 2018 Through the Eyes of First-Timers<\/a> at Synced Review<\/a>.<\/li>
    8. NeurIPS: A Beginner\u2019s Guide<\/a> at Max Marion<\/a>‘s website.<\/li>
    9. Regress\u00e3o Linear<\/a> at Natan Anael<\/a>‘s Medium.<\/li>
    10. Beware the Propensity Score: It’s a Collider<\/a> at Fernando Martel Garc\u00eda’s GitHub<\/a>.<\/li>
    11. Remarks on Chen and Pearl on causality in econometrics textbooks<\/a> at Chris Auld’s Blog<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Origin of Markov chains<\/a> at Khan Academy Labs’s YouTube channel.<\/li>
      2. OpenAI Plays Hide and Seek\u2026and Breaks The Game!<\/a> at Two Minute Papers’s YouTube channel.<\/li>
      3. Artificial Intelligence Debate – Yann LeCun vs. Gary Marcus – Does AI Need More Innate Machinery?<\/a> at The Artificial Intelligence Channel on YouTube. I wrote a Twitter thread here<\/a> commenting on the debate.<\/li><\/ol>\n\n\n\n

        Podcasts<\/h4>\n\n\n\n
        1. Quantitative Bias Analysis with Matt Fox<\/a> at Casual Inference Podcast<\/a>.<\/li>
        2. Voc\u00ea confiaria num \u201cRob\u00f4 Juiz\u201d?<\/a> at Spin de Not\u00edcias<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Research Scientist – Machine Learning for Autonomous Driving Behavior<\/a> at Bosch.<\/li>
          2. Research Engineer – Machine Learning for Autonomous Driving Behavior<\/a> at Bosch.<\/li>
          3. Research Intern in Machine Learning<\/a> at Bosch.<\/li>
          4. 8 Ph.D. fellowships<\/a> at Institut Curie.<\/li>
          5. Assistant or Associate Professor in Machine Learning<\/a> at Universit\u00e9 de Montreal.<\/li>
          6. Ph.D. and Postdoctoral opportunities in Recurrent Neural Networks and Related Machines That Learn Algorithms<\/a> at Swiss AI Lab IDSIA.<\/li>
          7. Research position in Natural Language Processing \/ Machine Learning<\/a> at INESCTEC.<\/li>
          8. Research position in Machine Learning<\/a> at INESCTEC.<\/li>
          9. Four Postdoctoral Research Assistant position in AI for Healthcare<\/a> at the University of Oxford.<\/li>
          10. Two Senior Research Associate in Biomedical Engineering<\/a> at the University of Oxford.<\/li>
          11. Two Research Scientist in AI for Healthcare<\/a> at the University of Oxford.<\/li>
          12. 50+ opportunities in Engineering, Information Technology and Research<\/a> at ACT.<\/li>
          13. Research Fellow\/Senior Research Fellow in Machine Learning For Autonomous Robot<\/a> at UCL.<\/li>
          14. Research Fellow\/Senior Research Fellow in Machine Learning for Climate Science<\/a> at UCL.<\/li>
          15. Postdoctoral fellowship in fairness aware artificial intelligence, federated learning, dynamic sequence data modeling, and recommendation<\/a> at the University of Arkansas.
            The next opportunities (30+) 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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