Best links of the week #31

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Best links of the week from 5th August to 11th August

Source: here.

Links

  1. randomizr: R Package for randomized experiments.
  2. Bayes’rule: Guide (course with several different levels).
  3. Extracting Brazilian schools census data with R at Fernando Barbalho’s gists.
  4. Download all data from DATASUS (several Brazilian health-related datasets) with R at Fernando Barbalho’s gists.

Blog/posts

  1. Statistics & Probability: Fundamentals 1 at Felix Laumann‘s Medium account.
  2. Statistics & Probability: Fundamentals 2 at Felix Laumann‘s Medium account.
  3. Probabilistic Graphical Models: Fundamentals at Felix Laumann‘s Medium account.
  4. Inference in Probabilistic Models: Monte Carlo and variational methods at Felix Laumann‘s Medium account.
  5. When machine learning meets complexity: why Bayesian deep learning is unavoidable at Felix Laumann‘s Medium account.
  6. How Bayesian methods embody Occam’s razor at Felix Laumann‘s Medium account.
  7. Probability Learning I: Bayes’ Theorem at Towards Data Science.
  8. General vs Narrow AI at HackerNoon.
  9. Probability concepts explained: Introduction by Jonny Brooks-Bartlett at Towards Data Science.
  10. Probability concepts explained: Rules of probability (introduction part 2) by Jonny Brooks-Bartlett at Towards Data Science.
  11. Probability concepts explained: probability distributions (introduction part 3) by Jonny Brooks-Bartlett at Towards Data Science.
  12. Common Probability Distributions: The Data Scientist’s Crib Sheet at Sean Owen.

Podcast

  1. Cause & Effect: A Conversation with Judea Pearl at Sam Harris’ Making Sense Podcast (#164).
  2. Fisiopatologia do Câncer (Reimagine o Câncer #03) at SciCast, Portal Deviante.

Scientific article

  1. Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks at PLOS Computational Biology.

Videos

  1. Maximum Likelihood Estimation in R I at Vidya-mitra YouTube channel.
  2. Maximum Likelihood Estimation in R II at Vidya-mitra YouTube channel.
  3. Máxima Verossimilhança para a Distribuição Normal, passo a passo! at StatQuest with Josh Starmer‘s YouTube channel.
  4. A visual guide to Bayesian thinking at Julia Galef‘s YouTube channel.

Positions available

  1. Senior Backend Developer / Data Engineer at AdMobilize.
  2. Cientista de Dados at Cervejaria Ambev.
  3. Especialista de Dados at ARPO Talent Connections.
  4. DBA / Arquiteto de Banco de Dados Sênior at Méliuz.
  5. Desenvolvedor(a) Front-End Sênior at Méliuz.
  6. Desenvolvedor(a) Web Analytics at DP6.
  7. Consultor(a) de Digital Analytics at DP6.
  8. Desenvolvedor(a) Python at Jeitto.
  9. Engenheiro de Dados at Resource IT.
  10. Data Scientist – Visão computacional at Kognita Lab.
  11. Data Scientist / Cientista de dados (foco em NLP) at Kognita Lab.
  12. Estágio em Data Science at Kognita Lab.
  13. Big Data Software Engineer at Epam Systems.
  14. Segurança da Informação – Proteção de dados at Beijaflore Consultoria.
  15. Research Staff Position at Sandia National Laboratories.
  16. Ph.D. opportunity in Computational Linguistics at Saarland University.
  17. Tenure Track Faculty Positions in Artificial Intelligence at Oregon State University.
  18. Ph.D. opportunity on NLP and statistical relational learning at the University of Edinburgh.
  19. Ph.D. opportunity in Artificial Intelligence for Future Society Smart Cities at the University of Southampton.
  20. Ph.D. opportunity in Machine Learning for Stress and Fatigue Detection in Ship Crews at the University of Southampton.
  21. Machine Learning Researcher Positions at Arm’s ML Research Group in Austin, USA.
  22. Several research interns/associate positions at Honda Research Institute.
  23. Research Fellow in Computer Vision at Monash University.