Best links of the week #31

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Reading Time: 2 minutes

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 #29

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Reading Time: 3 minutes

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 #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 #21

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Best links of the week from 27th May to 2nd June

Source: Geek Hero Cromic.

Links

  1. Samsung AI Can Turn a Single Portrait Into a Realistic Talking Head at PetaPixel.
  2. Let’s Encrypt (Free Certification Authority) at MLAIT.
  3. Public data from the French government.
  4. Paris opens a data center to control its digital infrastructure.
  5. genderBR is an R package that predicts gender from Brazilian first names using data from the Instituto Brasileiro de Geografia e Estatistica’s 2010 Census.
  6. Git Cherry Pick at Atlassian Git Tutorials.
  7. Refs and the Reflog at Atlassian Git Tutorials.
  8. Advanced Git log at Atlassian Git Tutorials.
  9. Merging vs. Rebasing at Atlassian Git Tutorials.
  10. Intro to Cherry Picking with Git at PreviousNext.
  11. O que faz o cientista de dados ser o profissional mais procurado pelos RHs? at StartSe.
  12. 8 habilidades indispensáveis para cientistas de dados at CIO.
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Best links of the week #12

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Best links of the week from 25th March to 31th March.

Links

  1. Harvard Dataverse is a repository of data currently hosting over 82 thousand datasets.
  2. The origins of the job title “data scientist” at Quartz at work.
  3. The Data Incubator offers [paid] courses and bootcamps in Data Analysis.
  4. Teenagers are better behaved and less hedonistic nowadays at The Economist.
  5. Why You Procrastinate (It Has Nothing to Do With Self-Control) at The New York Times.
  6. RATP, Régie Autonome des Transports Parisiens (English: Autonomous Operator of Parisian Transports) is data friendly!
  7. Data Science Meetups: A list of Data Science Meetups from around the world!
  8. A list of R conferences, groups and meetings at Jumping Rivers GitHub page.
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Best links of the week #11

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Best links of the week from 18th March to 24th March.

Links

  1. Tips and Tricks to Ace Data Science Interviews – Brand New Podcast Series by Analytics Vidhya! at Analytics Vidhya.
  2. Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019) at Analytics Vidhya.
  3. The 25 Best Data Science and Machine Learning GitHub Repositories from 2018 at Analytics Vidhya.
  4. Source code and overall data of the Deep Learning Summer School 2018 at Deep Learning Brasil GitHub repository.
  5. How can you set yourself apart when everyone is doing machine learning or data science in 2019? at Quora.
  6. What are some general tips on feature selection and engineering that every data scientist should know? at Quora.
  7. An overview of feature selection strategies by Burak Himmetoglu at Data Science Central.
  8. Selecting features as (network) nodes at Chloe-Agathe Azencott’s GitHub page.
  9. Como anda o metrô de São Paulo? at Paulo Haddad’s GitHub page.
  10. IMD sedia lançamento de chamada pública nacional para financiamento à inovação tecnológica at Notícias do Instituto Metrópole Digital.
  11. Gestão Por segurança e transparência, Receita leva base de CPF para Blockchain at CIO.
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Best links of the week #7

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Best links of the week from 18th February to 24th February.

Links

  1. AI Generates Hilarious “Inspirational Quotes” at Truth Theory.
  2. Creating New Variables in R with mutate() and ifelse().
  3. Best slides on ggplot2 I have ever seen: the ggplot flipbook at Gina Reynolds’ GitHub. Files here.
  4. The Tidyverse in Action at Gina Reynolds’ GitHub. Files here.
  5. A workflow template for using topic R markdown documents that can be used as inputs to xaringan slides or lecture notes at Gina Reynolds’ GitHub.
  6. The CRISPR twins had their brains altered at MIT Technology Review.
  7. Elon Musk, Tesla e um exemplo didático de jornalismo irresponsável e sensacionalista at MeioBit.
  8. This is how AI bias really happens—and why it’s so hard to fix at MIT Technology Review.
  9. Como um logaritmo pode ser chamado de natural? at Deviante.
  10. Replicabilidade em Ciências Sociais: em torno de 35% de estudos publicados em jornais renomados não foram replicados em um estudo recente at Deviante.
  11. Crise de Replicabilidade at Deviante.
  12. O Fim da Ciência no Brasil: A minha história com o financiamento público de pesquisa at Deviante.
  13. Paradoxo de Braess: construir mais uma rua pode… piorar? at Deviante.
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Best links of the week #6

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Best links of the week from 11th February to 17th February.

Links

  1. IBM e FAPESP investem USD 10M na criação do mais avançado Centro de IA do Brasil at IBM Comunica.
  2. Chrome extension to prevent tracking from ads and their annoying behavior. Adnauseam: Clicking ads so you don’t have to.
  3. AAAS: Machine learning ‘causing science crisis’ at BBC News.
  4. O ensino híbrido é o futuro da educação at Época Negócios.
  5. Como a Holanda cortou burocracias de 13 semanas para 13 minutos at Época Negócios.
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