Best links of the week #32

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Best links of the week from 12th August to 18th August

Due to vacations and an accident at the end of the trip, I was unable to bring to you a set of links as diverse and rich in quality as I’m used to. Comics will also be replaced by this picture of my fiancée and me in front of the Château de Chambord :-). The number of opportunities remains the same, though! I will make sure to bring a better release of this series next week 🙂

Links

  1. Observatório dos Novos Agrotóxicos by Fernando Barbalho.
  2. Petrobras caça talentos para cargo de cientista de dados at Estadão.
  3. O Zen do R.
  4. Several public databases, both brazilian and international sources at Abraji.
  5. What3words: como um aplicativo usa três palavras para salvar vidas at BBC.
  6. R-Style-Guide — Towards a Goal of RED Code at Norm Matloff‘s GitHub.
  7. What’s next for the popular programming language R? at QUARTZ.
  8. Agile Data Science with R.
  9. R package to show dependencies like pip show.
  10. Easily generate information-rich, publication-quality tables from R (RStudio gt) at RStudio’s GitHub.
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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.
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Best links of the week #30

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Best links of the week from 29th July to 4th August

Source: here.

Links

  1. Some interesting shiny apps at Tychobra.
  2. Learn git branching!
  3. Learn vim.
  4. rThreeJS R Package.
  5. Difference Between Covariance and Correlation at Key Differences.
  6. Variance vs. Covariance: What’s the Difference? at Investopedia.
  7. Difference Between Correlation and Regression at Key Differences.
  8. Difference Between Parametric and Nonparametric Test at Key Differences.
  9. Preferential attachment at Wikipedia.
  10. Voice automated shiny app (example here) at Yihui Xie’s GitHub.
  11. Webcam (face) automated shiny app (example here) at Yihui Xie’s GitHub.
  12. Xaringan (presentation on xaringan here) at Yihui Xie’s GitHub.
  13. Learn R fast with fasteR!
  14. We’re told that too much screen time hurts our kids. Where’s the evidence? at The Guardian.
  15. pagedown: Creating beautiful PDFs with R Markdown and CSS at rstudio::conf 2019 website.
  16. Por que cientistas precisam ser também bons comunicadores at NEXO Jornal.
  17. Portugal cria visto especial para atrair profissionais de TI brasileiros at Folha de São Paulo.
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Best links of the week #29

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

Links

  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.
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Best links of the week #28

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Best links of the week from 15th July to 21st July

Source: here.

Links

  1. What are probabilistic graphical models, and why are they useful? at Quora.
  2. Google sister-company Verily is teaming with big pharma on clinical trials at CNBC.
  3. Colors of noise at John D. Cook Consulting.
  4. An Idiot’s Guide to Support Vector Machines (SVMs) by R. Berwick.
  5. Introduction to Support Vector Machines by Shivani Agarwal.
  6. The Intuition Behind Inverse Probability Weighting by Judea Pearl.
  7. Resampling/simulation methods: Monte Carlo, bootstrapping, jackknifing, cross-validation, randomization tests, and permutation tests at Cross Validated.
  8. Many articles about the data.table package for R.
  9. Cumulative Variable Importance for Random Forest (RF) Models at Rich Pauloo’s GitHub.
  10. Flipping a journal to open access will boost its citation performance – but to what degree varies by publisher, field, and rank at LSE Impact Blog.
  11. 35 Innovators Under 35: Making the software that lets powerful AI programs run more smoothly at MIT Technology Review.
  12. Top 40 R Programming Blogs and Websites To Follow in 2019 at Feedspot.
  13. Gene enrichment statistics with Hypergeometric and Fisher’s exact tests (part of Analyse statistique des données génomiques (ASG) course) at Denis Puthier’s course website.
  14. Open-source Version Control System for Machine Learning Projects (DVC).
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Best links of the week #27

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Best links of the week from 8th July to 14th July

Source: here.

Links

  1. The “Rmd first” method: when projects start with documentation Sébastien Rochette’s GitHub repository.
  2. goodpractice: Advice on R Package Building.
  3. Sampling (statistics) at Wikipedia.
  4. Bootstrapping (statistics) at Wikipedia.
  5. Jackknife resampling at Wikipedia.
  6. Bootstrap in R by Łukasz Deryło at DataCamp Tutorials.
  7. How can I generate Bootstrap statistics in R? at the FAQ of the Institute for Digital Research & Education (UCLA).
  8. How does R handle missing values? at the FAQ of the Institute for Digital Research & Education (UCLA).
  9. How does R handle overlapping object names? at the FAQ of the Institute for Digital Research & Education (UCLA).
  10. How can I test for contrasts in R? at the FAQ of the Institute for Digital Research & Education (UCLA).
  11. Explaining to laypeople why bootstrapping works at Cross Validated.
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Best links of the week #26

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

Source: here.

Links

  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 state.ai.
  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.
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Best links of the week #25

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Best links of the week from 24th June to 30th June

Source here.

Links

  1. I know what you did last session – clustering users with ml presented at PAPIs LATAM 2019.
  2. You can also see all the talks that happened during PAPIs LATAM 2018 here on their YouTube channel.
  3. Data Science Cheatsheet by Maverick Lin at his GitHub.
  4. Announcing the YouTube-8M Segments Dataset at Google AI Blog.
  5. BDMEP – Banco de Dados Meteorológicos para Ensino e Pesquisa.
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Best links of the week #24

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Best links of the week from 17th June to 23rd June

Source here.

Links

  1. Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained at Oleksii Trekhleb’s GitHub.
  2. TOP 100 R tutorials for beginners at Listen Data.
  3. Best ZSH theme (powerlevel9k) 🙂 at Ben Hilburn’s GitHub.
  4. Discover and install useful RStudio addins at Dean Attali’s GitHub.
  5. Reticulate: R Interface to Python. RMarkdown with Python and R together? Voilà!
  6. Create interactive timeline visualizations in R at Dean Attali’s GitHub.
  7. Building Shiny apps – an interactive tutorial at Dean Attali’s Blog.
  8. Globo recruta para treinamento em ciência de dados com chance de emprego at EXAME.
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