Best links of the week #26

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Best links of the week from 1st July to 7th July

Source: here.


  1. Open Source Guides
  2. Accuracy paradox at Wikipedia.
  3. Lucas critique, Goodhart’s law and Campbell’s law at Wikipedia.
  4. 40 Artificial Intelligence Interview Questions & Answers at Vipul Patel’s LinkedIn.
  5. State of AI Report 2019 at
  6. Gramr add-in for RStudio at ROpenScilabs’s GitHub Repository.
  7. Chega a São Paulo a École 42, escola francesa que ensina programação sem cobrar nada at Época Negócios.
  8. Seleção de desafios para o Hackathon em Saúde 2019 at ICICT.
  9. Indicadores criminais divulgados oficialmente pela Secretaria de Segurança Pública e Defesa Social (SSPDS) do Ceará. Data!!!
  10. Drone com projetor consegue enganar IA de carro at Olhar Digital.
  11. Curso de Data Science em Português at sn3fu’s GitHub.


  1. DLRM: An advanced, open source deep learning recommendation model at Facebook Artificial Intelligence Blog.
  2. 6 impactful applications of AI to the life sciences at newsletter.
  3. Ever Wondered Why Normal Distribution Is So Important? by Farhad Malik at FinTech Explained.
  4. Feature Selection with the Caret R Package by Jason Brownlee at Machine Learning Mastery.
  5. Get Your Data Ready For Machine Learning in R with Pre-Processing by Jason Brownlee at Machine Learning Mastery.
  6. 8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset by Jason Brownlee at Machine Learning Mastery.
  7. Como lidar com dados desbalanceados em problemas de classificação by Arthur Lamblet Vaz at DataHackers Medium.
  8. Aprendendo Engenharia de Dados de graça (ou quase) at Diogo Akio Balboni Miyake‘s Medium.
  9. Aprenda o que são Métodos de Estimação by Maria Helena at DataHackers Medium.
  10. Como selecionar as melhores features para seu modelo de Machine Learning by Paulo Vasconcellos at DataHackers Medium.

Scientific Articles

  1. How fast does the Grim Reaper walk? Receiver operating characteristics curve analysis in healthy men aged 70 and over published at the British Medical Journal.
  2. The Blessings of Multiple Causes at


  1. Lectures on Causality: Jonas Peters, Part 1 at Broad Institute YouTube channel.
  2. Lectures on Causality: Jonas Peters, Part 2 at Broad Institute YouTube channel.
  3. Lectures on Causality: Jonas Peters, Part 3 at Broad Institute YouTube channel.
  4. Lectures on Causality: Jonas Peters, Part 4 at Broad Institute YouTube channel.
  5. Oral presentations on causality at the International Conference on Machine Learning (ICML) 2019.

Positions available

  1. Analista de Business Intelligence Jr. at Close-Up International.
  2. Engenheiro de Dados [IRIS] at 4all Tecnologia.
  3. Many opportunities at the School of Computing Science of the University of Glasgow.
  4. Tenure Track Assistant Professor Artificial Intelligence for Medical Imaging at the Eindhoven University of Technology.
  5. Ph.D. Scholarship in Software Engineering with An Emphasis on Human Factors in Ai-design at the Chalmers University of Technology.
  6. Analista de BI / Ciência de Dados at RecrutaSimples.
  7. Analista de Infraestrutura Cloud at HUNTINGTI.
  8. Analista de Infraestrutura at HUNTINGTI.
  9. Analista BI Sênior at HUNTINGTI.
  10. Data Scientist at poatek.
  11. Analista de Banco de Dados at Iteam – Tecnologia da informação e serviços.