{"id":2623,"date":"2020-01-20T22:39:04","date_gmt":"2020-01-20T22:39:04","guid":{"rendered":"https:\/\/mribeirodantas.xyz\/blog\/?p=2623"},"modified":"2020-01-20T22:41:22","modified_gmt":"2020-01-20T22:41:22","slug":"best-links-of-the-week-52","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2020\/01\/20\/best-links-of-the-week-52\/","title":{"rendered":"Best links of the week #52"},"content":{"rendered":"Reading time: <\/span> 3<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 13th January to 19th January<\/h3>\n\n\n\n
\"This<\/figure>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Mapping China’s Global Development Footprint<\/a> at aiddata<\/a>.<\/li>
  2. The Professional Data Science Manifesto<\/a>.<\/li>
  3. From Physics to Data Science<\/a> by Martina Pugliese<\/a>.<\/li>
  4. “You and Your Research”<\/a> by Richard Hamming at Gabriel Robins<\/a>‘s website.<\/li>
  5. Liverpool are using incredible data science during matches, and effects are extraordinary<\/a>.<\/li>
  6. Koch’s postulates<\/a> at Wikipedia.<\/li>
  7. Dados relativos ao pagamento do Bolsa Fam\u00edlia<\/a>.<\/li>
  8. sensemakr<\/a> R package.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. A visual interpretation of the standard deviation<\/a> by Fahd Alhazmi<\/a> at Towards Data Science<\/a>.<\/li>
    2. WTF is a Tensor?!?<\/a> by Matthew Mayo<\/a> at KDnuggets<\/a>.<\/li>
    3. Data Wrangling Part 1: Basic to Advanced Ways to Select Columns<\/a> at Suzan Baert’s Blog<\/a>.<\/li>
    4. Data Wrangling Part 2: Transforming your columns into the right shape<\/a> at Suzan Baert’s Blog<\/a>.<\/li>
    5. Data Wrangling Part 3: Basic and more advanced ways to filter rows<\/a> at Suzan Baert’s Blog<\/a>.<\/li>
    6. Data Wrangling Part 4: Summarizing and slicing your data<\/a> at Suzan Baert’s Blog<\/a>.<\/li>
    7. Summary for multiple variables using purrr<\/a> at Sebastian Sauer’s Blog<\/a>.<\/li>
    8. Learn to purrr<\/a> at Rebecca Barter’s Blog<\/a>.<\/li>
    9. One-at-a-time Sensitivity Analysis<\/a> at Doug Mcneall’s Blog<\/a>.<\/li>
    10. Sensitivity Analysis with R<\/a> at Doug Mcneall’s Blog<\/a>.<\/li>
    11. Pain-free Genome Depth Plotting<\/a> at OneStop Data Analysis<\/a>.<\/li>
    12. Analise de series temporais<\/a> at Natan Anael<\/a>‘s Medium.<\/li>
    13. Sobre o \u201cdireito\u201d de \u201ctentar qualquer coisa\u201d<\/a> at Revista Quest\u00e3o de Ci\u00eancia.<\/li>
    14. Aconteceu: Nubank j\u00e1 \u00e9 maior que Ita\u00fa<\/a> at Lucas Marques<\/a>‘ LinkedIn.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Intro to Epidemiology; Cause & effect relationship, multiple causality, correlation & causation<\/a> at Masaki Moriyama’s YouTube channel<\/a>.<\/li>
      2. A Breakthrough in Graph Theory<\/a> at Numberphile<\/a>.<\/li><\/ol>\n\n\n\n

        Podcasts<\/h4>\n\n\n\n
        1. Bayes, open-source and bioinformatics, with Osvaldo Martin #1<\/a> at Learning Bayesian Statistics<\/a>.<\/li><\/ol>\n\n\n\n

          Positions available<\/h4>\n\n\n\n
          1. Postdoc \/ Undergraduate Internships for Bioinformatics and Data Science<\/a> at Max Planck Institute and NEC Laboratories Europe.<\/li>
          2. Doutorado direto em gen\u00e9tica molecular com bolsa da FAPESP<\/a> at IPBEN-Unesp.<\/li>
          3. Bridging Excellence Postdoc Program call<\/a> at EMBL \/ Stanford.<\/li>
          4. Bioinformatician position<\/a> at MPI of Immunobiology and Epigenetics.<\/li>
          5. Group leader opportunities in Systems Biology and Artificial Intelligence<\/a> at the Center for Research and Interdisciplinarity (CRI).<\/li>
          6. Research fellow in Recommender Systems<\/a> at UCD.<\/li>
          7. Postdoctoral position in Recommender Systems<\/a> at UCD.<\/li>
          8. Research Engineer (Machine Learning)<\/a> at Accenture Labs Dublin.<\/li>
          9. 2 Open Positions for Early-Stage Researchers Pursuing PhDs in the Area of Artificial Intelligence without Bias<\/a> at the University of Southampton.<\/li>
          10. Ph.D. opportunities in Law Ethics \/ Computer Science<\/a> at Trinity College Dublin.<\/li>
          11. Research Engineer position in NLP<\/a> at ADAPT Centre.<\/li>
          12. Another Research Engineer position in NLP<\/a> at ADAPT Centre.<\/li>
          13. Machine-Learning Software Engineer \/ Architect for a Recommender-System Spin-Out Company<\/a> at ADAPT Centre.<\/li>
          14. Research Engineer in Visual Data Analytics<\/a> at ADAPT Centre.<\/li>
          15. Research Fellow in Computer Vision & Video Processing<\/a> at ADAPT Centre.
            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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