Best links of the week #29

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Best links of the week from 22nd July to 28th July


  1. Listen to people all over the world pronouncing the name of countries and capitals.
  2. Write a letter to the future!
  3. A Personal Journey into Bayesian Networks by Judea Pearl.
  4. An innovative way to publish at Nature.
  5. Here’s What Fruits And Vegetables Looked Like Before We Domesticated Them at Science Alert.
  6. Regression Sensitivity Analysis: the Robustness Value and the partial R², a shiny app by Carlos Cinelli.
  7. Do you need to normalize your input data for Random Forests and Neural Networks? (More on Random Forests here) at Data Science (Stack Exchange).
  8. Cumulative Variable Importance for Random Forest (RF) Models at Rich Pauloo’s Gists.
  9. Contributing to the R ecosystem by Colin Fay at SpeakerDeck.
  10. Entrevista: Por que homeopatia é placebo – e não deve ser paga pelo SUS at Super Interessante.


  1. Drawing maps in R at Emil Malta’s personal website.
  2. Getting Open Data into R from CKAN at R-Bloggers.
  3. How to write your own ggplot2 functions in R at InfoWorld.
  4. Understanding basics of data science by Sharayu Rane at Data Science Central.
  5. Huge Trello List of Great Data Science Resources by Thia Kai Xin at Data Science Central.
  6. Why do Decision Trees Work? by Amelia Matteson at Data Science Central.
  7. Sample Size Formula at Statistics Solutions.
  8. Improving performance of random forests for a particular value of outcome by adding chosen features at Mathematician in Data Science.
  9. Sample Projects for Data Scientists in Training by Vincent Granville at Data Science Central.
  10. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study by John Sullivan at Towards Data Science.
  11. 10 Required Non-technical Skills for a Data Scientist by Khosrow Hassibi at Data Science Central.
  12. Crash Course On Multi-Layer Perceptron Neural Networks by Jason Brownlee at Machine Learning Mastery.
  13. Invariant Risk Minimization: An Information Theoretic View at inFERENCe.
  14. Using Decision Theory to Justify Your Alpha at Daniel Laken’s The 20% Statistician.
  15. Raspagem de dados sem escrever código at Pizza de Dados.
  16. Um passeio pelo backstage de um podcast at Pizza de Dados.


  1. Making Sense of Sensitivity: Extending Omitted Variable Bias by Carlos Cinelli at Berkeley Initiative for Transparency in the Social Sciences (BITSS) YouTube channel.

Scientific Articles

  1. What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models at Psychosomatic Medicine.
  2. The number of subjects per variable required in linear regression analyses at Journal of Clinical Epidemiology.
  3. Making Sense of Sensitivity: Extending Omitted Variable Bias (Preprint) [1]
  4. Availability of cookies during an academic course session affects evaluation of teaching at Medical Education Journal.

Positions available

  1. Post-doctoral position to investigate the role and regulation of transposons during the earliest stages of mammalian development at the MRC London Institute of Medical Science.
  2. Research Associate in Paradigms of Artificial General Intelligence and Their Associated Risk at the University of Cambridge.
  3. Ph.D. fellow in Theoretical Machine Learning at the University of Copenhagen.
  4. Lecturer/Senior Lecturer in Data Science at the University of Auckland.
  5. Ph.D. Candidate / Research Assistant at the ETH Zurich.
  6. Ph.D. Scholarship in Computational Linguistics (Natural Language Processing) at the University of Ghent.
  7. Ph.D. in Governance of Artificial Intelligence in The Energy Transition at the Eindhoven University of Technology.
  8. Ph.D. in Robust Deep Learning in the Physical World at Robert Bosch GmbH.
  9. Ph.D. position in Machine Learning-based Design of High-Frequency Circuits and Systems at the Ghent University.
  10. Ph.D. position in Yield and Variability Optimization of Integrated Circuits using Machine Learning at the Ghent University.
  11. Ph.D. Position in Bioinformatics : Identification of gene regulation mechanisms by integrative and massive analysis of sequencing data at Aix*Marseille Université.
  12. Sr. Data Engineer at Cobli.
  13. Data Scientist at Docket.
  14. Analista Data Science at Wiz.
  15. Engenheiro de Dados – Especialista at Birdie.
  16. Cientista de dados at ShareRH.
  17. Data Scientist Sr at CargoX.
  18. Estagiário de Data Analytics at Data & Insights.
  19. Engenheiro de Dados (Produtos Financeiros) at Stone.
  20. Analista de Dados Pleno – Produto Consumidor at iFood.
  21. Data scientist – Product Discovery at Voith Innovation Lab.
  22. Cientista de Dados at Mirante Tecnologia.
  23. Programador Ciência de Dados at Grupo AVAL.
  24. Analista de Machine Learning at Omnilogic.
  25. Analista de BI – Nível Pleno at HrSoul Hunting Relationship.
  26. Cientista de dados at Árvore.
  27. Software Developer – Data Engineering at Cabify.