{"id":3131,"date":"2020-03-10T00:32:49","date_gmt":"2020-03-10T00:32:49","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=3131"},"modified":"2020-03-10T00:32:54","modified_gmt":"2020-03-10T00:32:54","slug":"best-links-of-the-week-59","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/03\/10\/best-links-of-the-week-59\/","title":{"rendered":"Best links of the week #59"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

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

Links<\/h4>\n\n\n\n
  1. Understanding Bayesian Networks with Examples in R<\/a> at bnlearn<\/a>.<\/li>
  2. Rockefeller, Mastercard team up to leverage data science for social impact<\/a> at devex.<\/li>
  3. Introduction to ggridges<\/a>.<\/li>
  4. Dados do mercado de trabalho para Cientista de Dados<\/a>.<\/li>
  5. Desmistificando a intelig\u00eancia artificial \u2013 onde estamos e para onde vamos? (1\/5)<\/a> at Deviante.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog posts<\/h4>\n\n\n\n
    1. First Impressions of Data Science Version Control (DVC)<\/a> at Christopher Samiullah’s Blog<\/a>.<\/li>
    2. A walkthrough of DVC<\/a> at codecentric<\/a>.<\/li>
    3. DVC dependency management \u2013 a guide<\/a> at codecentric<\/a>.<\/li>
    4. Remote training with GitLab-CI and DVC<\/a> at codecentric<\/a>.<\/li>
    5. Explain Your Model with the SHAP Values<\/a> by Dr. Dataman<\/a> at Towards Data Science<\/a>.<\/li>
    6. The Story of Us: Intro<\/a> at Wait But Why<\/a>.<\/li>
    7. Bayes\u2019 rule with a simple and practical example<\/a> at Towards Data Science<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Explicabilidade em Machine Learning: isso existe?<\/a> by Bianca Ximenes at InfoQ Brasil<\/a>.<\/li>
      2. Caixas pretas, vieses e causalidade<\/a> by myself<\/a> at Open Data Day Natal 2020<\/a>.<\/li><\/ol>\n\n\n\n

        Positions available<\/h4>\n\n\n\n
        1. Managing urban water demand across multiple spatio-temporal scales<\/a> at Politecnico di Milano.<\/li>
        2. Postdoctoral opportunity in AI for Earth Observation data<\/a> at ESA.<\/li>
        3. Postdoctoral opportunity in machine learning<\/a> at TU Wien.<\/li>
        4. Ph.D. positions in machine learning<\/a> at TU Wien.<\/li>
        5. Lecturer\/Senior Lecturer in Artificial Intelligence and \/ or Machine learning<\/a> at the University of Bristol.<\/li>
        6. Project Professor (Assistant, Associate, Full) \/ Senior Postdoctoral Research Fellows<\/a> at IRCN.<\/li>
        7. Ph.D. positions in Natural Language Processing for Cross-Lingual, Cross-Domain, and Limited Supervision Learning<\/a> at ITU Copenhagen.<\/li>
        8. Research Associate in Privacy and Machine Learning<\/a> at the University of Edinburgh.<\/li>
        9. Research Associate in Privacy and Machine Learning<\/a> at the University of Edinburgh.<\/li>
        10. Research Associate in Multimodal Machine Learning<\/a> at ICL.<\/li>
        11. Cientista de Dados\/Spark\/Python – N\u00edvel S\u00eanior<\/a> at HrSoul Hunting Relationship.<\/li>
        12. Senior Data Scientist<\/a> at Pipefy.<\/li>
        13. Data Engineer (Desenvolvedor Data Science)<\/a> at FIEC.<\/li>
        14. Data Coordinator<\/a> at Delivery Center.<\/li>
        15. Desenvolvedor Data Science\/Machine Learning<\/a> at Eldorado.
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