Best links of the week #46

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Best links of the week from 18th November to 24th November

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  1. How do I encrypt a file or folder in my home directory? at the Department of Statistics (UC Berkley).
  2. RAWGraphs, The missing link between spreadsheets and data visualization.
  3. InterpretML is an open-source python package for training interpretable models and explaining blackbox systems.
  4. Misunderstandings Involving Conditional Probabilities at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
  5. Misunderstandings arising from different perspectives on probability at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
  7. Mistakes Involving the Limitations of Frequentist Inference Procedures (Hypothesis Tests and Confidence Intervals) at COMMON MISTEAKS MISTAKES IN USING STATISTICS.
  8. The new dot com bubble is here: it’s called online advertising at The Correspondent.
  9. Cientista tem planos de editar genes humanos com DNA de tardígrados at Revista Galileu.
  10. Dados públicos CNPJ at Receita Federal.
  11. Painéis de Dados da Anatel at Anatel.
  12. Acre vive surto de doença causada por medo de vacinação at Jornal da USP.
  13. Inteligência Artificial na Educação: RN usa algorítimo para analisar risco e combater a evasão escolar at Globo G1.


  1. 4 statistical processes that every data scientist should know at Gordon Silvera‘s Medium.
  2. A Gentle Introduction to tidymodels by Edgar Ruiz at R Views.
  3. A closer look at Google’s plan to spotlight ‘original reporting’ at Global Editors Network‘s Medium.
  4. PulmCrit – Mythbusting sensitivity and specificity at EMCrit Project.
  5. 12 Blind Spots in AI Research at Carlos E. Perez at Intuition Machine.
  6. Como sobreviver ao mestrado/doutorado – parte I at Anderson Soares‘ Medium.
  7. Como sobreviver ao mestrado/doutorado – parte II at Anderson Soares‘ Medium.


  1. Data Visualization: crie os melhores gráficos para os seus dados at Filipe Deschamps‘s YouTube channel.
  2. Calling Bullshit, Spring 2017 at Calling Bullshit.


  1. Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02 at Casual Inference.

Positions available

  1. Fully funded Ph.D. positions in US-style graduate school at the Institute of Science and Technology Austria (IST Austria).
  2. Senior Research Associate in ML for Longitudinal Methods at Lancaster University.
  3. Fully Funded Ph.D. position in AI and Machine Learning for mental well being at Örebro University.
  4. Desenvolvedor Full Stack Java (BIG Data) at everis.
  5. Engenheiro de dados at Stone.
  6. Cientista de dados at GOL Linhas Aéreas Inteligentes.
  7. Senior Data Scientist at Red Hat.
  8. Data Engineer at Olist.
  9. Cientista de Dados at Olist.
  10. Pessoa Engenheira de Dados at Gupy Tech.
  11. Cientista de Dados at Gupy Tech.
  12. Ph.D. fellowship in Bioinformatics at the University of Melbourne.
  13. Visiting Professor in Genetics/Genomics/Bioinformatics at UESC.
  14. Ph.D. Fellowship in Medical Studies (Deciphering the impact of non-coding mutations in disease) at the University of Exeter.
  15. ML faculty position at HEC Montreal.
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