{"id":1921,"date":"2019-10-29T01:40:30","date_gmt":"2019-10-29T01:40:30","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=1921"},"modified":"2019-10-29T01:46:04","modified_gmt":"2019-10-29T01:46:04","slug":"best-links-of-the-week-42","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/10\/29\/best-links-of-the-week-42\/","title":{"rendered":"Best links of the week #42"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 21st October to 27th October<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. How To Route Web Traffic Securely Without a VPN Using a SOCKS Tunnel<\/a> at DigitalOcean<\/a>.<\/li>
  2. How AI and Data Could Personalize Higher Education<\/a> at Harvard Business Review<\/a>.<\/li>
  3. Opinion: Boycotting Elsevier Is Not Enough<\/a> at TheScientist<\/a>.<\/li>
  4. Statistics for people in a hurry<\/a> at Cassie Kozyrkov<\/a>‘s SoundCloud. <\/li>
  5. Opinion:\u00a0Modern high school math should be about data science \u2014 not Algebra 2<\/a> at Los Angeles Times<\/a>.<\/li>
  6. Causal Data Science with Directed Acyclic Graphs<\/a> at Udemy<\/a>.<\/li>
  7. Brasileiros criam c\u00f3digo para impedir tratores e outras m\u00e1quinas de funcionarem em \u00e1reas protegidas<\/a> at G1<\/a>.<\/li>
  8. Curso de atualiza\u00e7\u00e3o em Health Data Science e Analytics<\/a> at Antonio Valerio Netto<\/a>‘s LinkedIn.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. The Turf War Between Causality and Correlation In Data Science: Which One Is More Important?<\/a> at Towards Data Science<\/a>.<\/li>
    2. Conditional Independence \u2014 The Backbone of Bayesian Networks<\/a> at Aerin Kim<\/a>‘s Medium.<\/li>
    3. Data Leakage in Machine Learning<\/a> at Towards Data Science<\/a>.<\/li>
    4. Machine Learning Explainability vs Interpretability: Two concepts that could help restore trust in AI<\/a> at KDnuggets<\/a>.<\/li>
    5. Bayesian Statistics 101 for Dummies like Me<\/a> by Sangeet Moy Das<\/a> at Towards Data Science<\/a>.<\/li>
    6. Probability Theory 101 for Dummies like Me<\/a> by Sangeet Moy Das<\/a> at Towards Data Science<\/a>.<\/li>
    7. Dimensionality Reduction 101 for Dummies like Me<\/a> by Sangeet Moy Das<\/a> at Towards Data Science<\/a>.<\/li>
    8. Understanding probability. Finally!<\/a> by Michel Kana, Ph.D<\/a> at Towards Data Science<\/a>.<\/li>
    9. Bayesian nightmare. Solved!<\/a> by Michel Kana, Ph.D<\/a> at Towards Data Science<\/a>.<\/li>
    10. The classical linear regression model is good. Why do we need regularization?<\/a> at Grace Zhang<\/a>‘s Medium.<\/li>
    11. The intuition behind Shannon\u2019s Entropy<\/a> by Aerin Kim<\/a> at Towards Data Science<\/a>.<\/li>
    12. Understanding Bayes\u2019 Theorem<\/a> by Tony Yiu<\/a> at Towards Data Science<\/a>.<\/li>
    13. O Deserto da Realidade (Parte 1)<\/a> at Portal Deviante<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Correlation CAN Imply Causation | Statistics Misconceptions<\/a> at minute physics<\/a>.<\/li>
      2. Misconceptions Footnote: Randomness and Feedback<\/a> at minute physics<\/a>.<\/li>
      3. Simpson’s Paradox<\/a> at minute physics<\/a>.<\/li>
      4. What is the Uncertainty Principle?<\/a> at minute physics<\/a>.<\/li>
      5. The Brick Double-Domino Effect Explained<\/a> at standupmaths<\/a>.<\/li>
      6. A friendly introduction to Bayes Theorem and Hidden Markov Models<\/a> at Luis Serrano<\/a>‘s YouTube channel.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Assistant Professor position in Data Science<\/a> at the University of Arkansas.<\/li>
        2. Assistant Professor position in Autonomous Vehicles\/IoT<\/a> at the University of Arkansas.<\/li>
        3. Assistant or Associate Professor position in Data Science\/NLP<\/a> at Colorado State University.<\/li>
        4. Machine Learning Engineer<\/a> at Duolingo AI Research.<\/li>
        5. Machine Learning Researcher, Intern (2020)<\/a> at Duolingo AI Research.<\/li>
        6. Data Scientist, Marketing<\/a> at Duolingo AI Research.<\/li>
        7. Machine Learning Engineering Manager<\/a> at Duolingo AI Research.<\/li>
        8. Analista de BI \/ Qlik Sense N\u00edvel S\u00eanior<\/a> at HrSoul Hunting Relationship.<\/li>
        9. Analista de BI<\/a> at Requisita.<\/li>
        10. Administrador de Dados<\/a> at Requisita.<\/li>
        11. Especialista de BI<\/a> at Requisita.<\/li>
        12. Senior Data Scientist – Product Insights<\/a> at WildLife Studios.<\/li>
        13. Est\u00e1gio – BIG Data\/Analytics<\/a> at RedFox Solu\u00e7\u00f5es Digitais.<\/li>
        14. Tenure-track faculty position in AI\/ML\/Vision<\/a> at York University.<\/li>
        15. Ph.D. and postdoctoral positions in Machine Learning\/Data Mining for Personalized Cancer Screening<\/a> at Simula and Cancer Registry of Norway.<\/li>
        16. Post-doctoral Fellowship in Immunogenetics<\/a> at USP.<\/li>
        17. Software Engineer (relocation abroad)<\/a> at The Novo Nordisk Foundation Center for Biosustainability.<\/li>
        18. Postdoctoral opportunity in Bioinformatics<\/a> at Institute for Data Science and Genomic Technology.<\/li>
        19. Assistant Professor with emphasis on Natural Language Processing<\/a> at the University of Georgia.<\/li>
        20. AI\/ML Faculty Positions<\/a> at KAUST.<\/li>
        21. MSc holder and BSc-holder positions on Machine Learning [1<\/a>][2<\/a>][3<\/a>][4<\/a>] at FCUP \/ University of Porto in collaboration with Bosch.<\/li>
        22. Tenure Track Openings<\/a> at Max Planck Institutes for Informatics, Software Systems, and Security and Privacy.<\/li>
        23. German-speaking Ph.D. position in Computational Social Sciences<\/a> at ETH Zurich.<\/li>
        24. Research Fellow\/Assistant Professor in Machine Learning (tenure track)<\/a> at Wallenberg AI, Autonomous Systems and Software Program (WASP).<\/li>
        25. Research Scientist, Research Assistant and Developer positions to work with machine\u2010mediated social interaction platforms<\/a> at the Open University of Cyprus.<\/li>
        26. Research Scientist, Research Assistant and Developer positions (integrated platform with the ability to sense, learn, and reason about various maritime operations)<\/a> at the Open University of Cyprus.<\/li>
        27. Tenure Track or Tenured Professor of Computer Science: Cybersecurity<\/a> at the University of Oklahoma.<\/li>
        28. Tenured Associate Professor or Professor of Computer Science and Meteorology: High Performance Computing<\/a> at the University of Oklahoma.<\/li>
        29. Tenure Track Assistant Professor of Computer Science: Artificial Intelligence\/Machine Learning and Cybersecurity<\/a> at the University of Oklahoma.<\/li>
        30. Lecturer in Statistical Science (two positions available)<\/a> at UCL.<\/li>
        31. IMSS Senior Research Fellows in Mathematical and Statistical Science<\/a> at UCL.<\/li>
        32. Manager – Data Analytics<\/a> at Neoway.<\/li>
        33. Data Quality Engineer<\/a> at Wildlife Studios.<\/li>
        34. Data Governance Specialist<\/a> at Wildlife Studios.<\/li>
        35. Data Platform Engineer<\/a> at Wildlife Studios.<\/li>
        36. Business Intelligence (BI)<\/a> at Clicksign.<\/li>
        37. Cientista de Dados<\/a> at Iteam – Tecnologia da informa\u00e7\u00e3o e servi\u00e7os.<\/li>
        38. Data Scientist<\/a> at Nubank.<\/li>
        39. Consultor S\u00eanior – Power Center<\/a> at TGV.<\/li>
        40. Consultor Pleno<\/a> at TGV.<\/li>
        41. Consultor S\u00eanior<\/a> at TGV.<\/li>
        42. ASSISTANT PROFESSOR (tenure-track) and PROFESSOR positions<\/a> at the Institute of Science and Technology Austria.<\/li>
        43. Analista de BI<\/a> at Cargo X.<\/li>
        44. Data Scientist<\/a> at Escale.<\/li>
        45. Analista de BI<\/a> at Recruta Simples.<\/li>
        46. Ph.D. and M.Sc. selection process in Bioinformatics<\/a> at USP.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

          Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>Bayesian Statistics, causality, artificial intelligence, some interesting videos to explain not so simple concepts and like always, a loooooooot of opportunities for 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