{"id":2297,"date":"2019-12-03T08:52:31","date_gmt":"2019-12-03T08:52:31","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2297"},"modified":"2019-12-03T14:08:47","modified_gmt":"2019-12-03T14:08:47","slug":"best-links-of-the-week-47","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/12\/03\/best-links-of-the-week-47\/","title":{"rendered":"Best links of the week #47"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 25th November to 1st December<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Researchers Have Successfully Tricked A.I. Into Seeing The Wrong Things<\/a> at PopSci<\/a>.<\/li>
  2. Fooling the machine<\/a> at PopSci<\/a>.<\/li>
  3. Why isn’t confounding a statistical concept?<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  4. The impossibility of asymmetric causation<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  5. d-SEPARATION WITHOUT TEARS<\/a> at Judea Pearl’s discussion with readers<\/a>. There is an interactive adaptation from this at dagitty’s website<\/a> here<\/a>.<\/li>
  6. An Illustration of Pearl’s Simpson Machine<\/a> at dagitty<\/a>.<\/li>
  7. Do you think you know DAG terminology? This game<\/a> can help you try your skills. There is also another game here<\/a> for testing your knowledge on covariate roles and another one<\/a> about Table 2 Fallacy. All this at dagitty<\/a>.<\/li>
  8. \u00a0On causality and decision trees<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  9. On causality and decision trees (cont.)<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  10. Back-door criterion and epidemiology<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  11. Indirect Effects<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  12. The meaning of counterfactuals<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  13. Has causality been defined?<\/a> at Judea Pearl’s discussion with readers<\/a>.<\/li>
  14. The tidyverse for Machine Learning<\/a> presentation by Bruna Wundervald<\/a> at satRday S\u00e3o Paulo.<\/li>
  15. Centrality measures as a proxy for causal influence?<\/a> at Fabian Dablander<\/a>‘s website.<\/li>
  16. Garoto de 12 anos j\u00e1 trabalha como cientista de dados<\/a> at Olhar Digital.<\/li>
  17. CGU lan\u00e7a novo Painel Correi\u00e7\u00e3o em Dados<\/a> at CGU<\/a>.<\/li><\/ol>\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Causality in Machine Learning 101 for Dummies like Me<\/a> by Sangeet Moy Das<\/a> at Towards Data Science<\/a>.<\/li>
    2. An introduction to Causal inference<\/a> at Fabian Dablander<\/a>‘s Blog.<\/li>
    3. Spurious correlations and random walks<\/a> at Fabian Dablander<\/a>‘s Blog.<\/li>
    4. Curve fitting and the Gaussian distribution<\/a> at Fabian Dablander<\/a>‘s Blog.<\/li>
    5. In Review: Ten Great Ideas About Chance<\/a> at Fabian Dablander<\/a>‘s Blog.<\/li>
    6. Using causal graphs to understand missingness and how to deal with it<\/a> at Cookie Scientist<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. A network of science: 150 years of Nature papers<\/a> at nature video<\/a>‘s YouTube channel.<\/li>
      2. ViennaR Meetup March 2019 | Hadley Wickham Tidy Data<\/a> at Quantargo<\/a>‘s YouTube channel.<\/li>
      3. Causal Graphs<\/a> by Julian Sch\u00fcssler<\/a> at MZES Methods Bites<\/a>‘s YouTube channel.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Lecturer\/Senior Lecturer\/Reader in Media & Data Science<\/a> at the University of Glasgow.<\/li>
        2. Ph.D. fellowship in Machine Learning for Robot Manipulation<\/a> at Bosch.<\/li>
        3. Fully Funded Ph.D. position in AI and Machine Learning for mental well being<\/a> at \u00d6rebro University.<\/li>
        4. Research Assistant in Computer Vision and Deep Learning<\/a> at Edge Hill University.<\/li>
        5. Tenure Track ML Teaching Professor Position<\/a> at UCSD.<\/li>
        6. Post-doctoral fellowship (Genomics)<\/a> at Instituto Tecnol\u00f3gico Vale.<\/li>
        7. Data Science Vice President<\/a> at Big Cloud.<\/li>
        8. Director of Data Science<\/a> at Ideal Team Consulting.<\/li>
        9. Gerente de Governan\u00e7a e Arquitetura de Dados<\/a> at Wiz.<\/li>
        10. Senior Business Intelligence Analyst<\/a> at SumUp.<\/li>
        11. Data Architect – Restaurant Product<\/a> at iFood.<\/li>
        12. Lead Data Engineer<\/a> at QuintoAndar.<\/li>
        13. Software Engineer<\/a> at Google.<\/li>
        14. Senior SQL Server\/ETL Developer<\/a> at Cognizant.<\/li>
        15. Data Architect D2- Lunch DFN<\/a> at iFood.
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