Best links of the week #3

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Best links of the week from 21th January to 27th January.

Links

  1. The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.
  2. Trilha de estudos de Data Science at fcqueiroz’s GitHub.
  3. Jonas Salk: Good at Virology, Bad at Economics at Slate.
  4. Why is Data Preprocessing required? at Ques10.
  5. What bioRxiv’s first 30,000 preprints reveal about biologists at Nature.
  6. What are some recent examples of Simpson’s Paradox in the media? at Quora.
  7. More funny examples of correlations at Bloomberg.
  8. If correlation doesn’t imply causation, then what does? at Data-Driven Intelligence.
  9. Berkson’s Paradox at Brilliant.
  10. Causal Inference & Paradoxes at IRT SystemX.
  11. 10 Biggest Struggles of PhD Students at INOMICS.
  12. Interesting Correlation does not imply causation article at Wikipedia.
  13. If two variables are independent, they will also be linearly independent, therefore their pearson product-moment correlation coefficient (or aka correlation) will be 0. However, the converse is not necessarily true, for they can be linearly independent but non-linearly dependent. However, it is sometimes mistakenly thought that linearly independence does imply independence when the two random variables are normally distributed. This is false though, because normally distributed and uncorrelated does not imply independent at Wikipedia.
  14. What is a Monotonic Relationship? at Statistics How To.
  15. One-Tailed and Two-Tailed Hypothesis Tests Explained at Statistics by Jim.
  16. What are the differences between one-tailed and two-tailed tests? (and many more interesting statistics questions here) at Institute for Digital Research and Education.
  17. Probability Tutorials at Probability.NET
  18. Google DataSet Search
  19. What Is An Intuitive Way To Understand Entropy? at Forbes.

Blog/posts

  1. Análise das Vítimas de Acidentes de Trânsito nas Rodovias Brasileiras – Parte 1 at Gabriel Gomes’ LinkedIn profile.
  2. Transito no Brasil, o que mudou em 10 anos? Parte 1 at Ramon Nogueira’s LinkedIn profile.
  3. Transito no Brasil, o que mudou em 10 anos? Parte 2 – Limpeza dos Dados at Ramon Nogueira’s LiknedIn profile.
  4. A more intuitive explanation of the correlation (complement) at Clear Language, Clear Mind.
  5. Intuition on correlation at Data se and here at Quora.
  6. Why absolute correlation value (r) cannot exceed 1. An intuition. at Data se.
  7. Why is the variance additive? An intuition. at Data se.
  8. A short tutorial for the logistic regression at Data se.
  9. Tutorial: How to Assess Model Accuracy at HRanalytics 101.
  10. Visual Information Theory at colah’s blog.
  11. Como começar a aprender Estatística e Ciência de dados at Thiago Marque’s LinkedIn.

Scientific Articles

  1. Introduction to Judea Pearl’s Do-Calculus at arXiv.org.
  2. The Do-Calculus Revisited at arXiv.org.
  3. An extra-uterine system to physiologically support the extreme premature lamb at Nature Communications. Layman overview at The Verge.
  4. Comment: Understanding Simpson’s Paradox at The American Statistician.

Videos

  1. O que Causou as Grandes Transições Evolutivas da Vida? at Stated Clearly channel on YouTube.
  2. What Is the RNA World Hypothesis? at Stated Clearly channel on YouTube.