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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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 #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 #18

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Best links of the week from 6th May to 12th May

Source: xkcd.

Links

  1. NextJournal, Seamless Data Science for Teams.
  2. An executive’s guide to AI.
  3. What should I use to serve R applications over the internet? at Brian Caffo’s YouTube channel. He talks about PlumbeR (PlumbeR book here).
  4. Will AI eat statistics? at Brian Caffo’s YouTube channel.
  5. A radical new neural network design could overcome big challenges in AI at MIT Technology Review.
  6. Urgent need for a government-led big data system, say industry experts at The Edge Markets.
  7. Top 10 Cities Across The Globe With The Highest Pay Packages For Data Scientists at Analytics India.
  8. What Nobody Tells You About Machine Learning at Forbes.
  9. How the data mining of failure could teach us the secrets of success at MIT Technology Review.
  10. How to hide from the AI surveillance state with a color printout at MIT Technology Review.
  11. Boosting (machine learning) at Wikipedia.
  12. Weak Learning, Boosting, and the AdaBoost algorithm at Jeremy Kun’s Blog.
  13. Weak vs. Strong Learning and the Adaboost Algorithm at Jenn Wortman Vaughan’s Website.
  14. What is a weak learner? at StackOverflow.
  15. AI está pronta para transformar radicalmente o desenvolvimento de software at CIO.
  16. O orçamento das universidades e institutos federais desde 2000 at NexoJornal.
  17. O governo contra as universidades, em dados e análises at NexoJornal.
  18. Existe alguma microevolução documentada nos humanos nos últimos duzentos anos? at Quora.
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Best links of the week #17

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Best links of the week from 29nd April to 5th May

Source: Dilbert.

Links

  1. This Will Be The Biggest Disruption In Higher Education at Forbes.
  2. Dead Facebook users could outnumber living ones within 50 years at MIT Technology Review.
  3. To Build Truly Intelligent Machines, Teach Them Cause and Effect at QuantaMagazine.
  4. The Worlds largest listings of AI Conferences, Events and Meetups with the biggest collection of conference discount codes.
  5. 2nd International Summer School on Artificial Intelligence: From Deep Learning to Data Analytics.
  6. Microsoft launches a drag-and-drop machine learning tool at TechCrunch.
  7. Actively curated list of awesome BI tools at Jan Kyri’s GitHub.
  8. How much of human height is genetic and how much is due to nutrition at Scientific American.
  9. Announcing JupyterHub 1.0!
  10. I hate it that sometimes Jupyter notebooks don’t render properly (or take a long time to render) at GitHub. If you’ve faced similar situations, your solution is here!
  11. Cryptography That Can’t Be Hacked at QuantaMagazine.
  12. Hacker-Proof Code Confirmed at QuantaMagazine.
  13. “PUT DOWN THE DEEP LEARNING: When not to use neural networks (and what to do instead)”, a talk by Rachael Tatman. Code here.
  14. Socially-Stratified Validation for ML Fairness, another talk by Rachael Tatman.
  15. Google Books Ngram Viewer is a tool that displays a graph showing how phrases specified by you have occurred in a corpus of books through time.
  16. Why Generation Y Yuppies Are Unhappy at Wait But Why.
  17. Looking for data? You mean data? DATA? Yes, data, data and data!!
  18. Becoming a Data Scientist – Curriculum via Metromap at nirvacana.
  19. Demystifying Artificial Intelligence. What is Artificial Intelligence & explaining it from different dimensions at nirvacana.
  20. The weakening relationship between the Impact Factor and papers’ citations in the digital age at arXiv.org.
  21. Visualização GeoEspacial com R at Gabriel Sartori’s GitHub.
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Best links of the week #14

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

Source: Business Broadway.

Links

  1. Many more images like the one above at Business Broadway.
  2. Websites with challenges and exercises at Gabriel Fonseca’s GitHub page.
  3. Support innovation in healthcare with Hacking Health! There are several chapters around the world, including several in Brazil and in France :-).
  4. What are some examples of “Correlation does not equal causation?” at Quora.
  5. Does no correlation imply no causality? at Cross Validated.
  6. PEARL VS RUBIN (GELMAN) at Dokyun Lee’s website.
  7. Virgilio, your new Mentor for Data Science E-Learning at Giacomo Ciarlini.
  8. A quick reference for data visualization.
  9. Dev Tube.
  10. Por que preciso de “Análise de Componentes Principais” ou PCA na mineração de dados? at Quora.
  11. Harvard lança 15 cursos gratuitos de Inteligência Artificial at Estagio Online.
  12. Os testes de Harvard selecionam seus genes at Deviante.
  13. A realidade biopsicossocial da violência at Deviante.
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Best links of the week #5

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Best links of the week from 4th February to 10th February.

Links

  1. Como controlar o braço de outra pessoa com o poder da sua mente? at UOL.
  2. vidente is an R package I am currently writing to parse and analyze data from the Surveillance, Epidemiology and End Results (SEER) Program, which covers over 1/3 of the US population on cancer incidence and survival.
  3. Ciência de Dados com R is a book on Data Science using R at Instituto Brasileiro de Pesquisa e Análise de Dados.
  4. Data Science & Machine Learning Course at Ivanovitch Silva’s GitHub repository.
  5. A receita dos candidatos a deputado federal em 2018 at Nexo Jornal.
  6. AI 100: The Artificial Intelligence Startups Redefining Industries at CB Insights.
  7. The open-source and crowd sourced conference website.
  8. Ranking of IT conferences.
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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.
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Best links of the week #2

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Best links of the week from 14th January to 20th January.

Links

  1. Data Hackers BR is apparently the largest community for Data Science in Brazil. They own a blog, a podcast, a Slack channel and a mailing list.
  2. Peeriodicals is a platform where you can compile a set of [existing] articles into a virtual journal, becoming its Editor-in-chief. People can subscribe to your jornal and follow your editions, just like they would in a real journal.
  3. Alerta máximo contra as pseudociências at Unicamp Notícias.
  4. TLM is a new open-source project that aims to create an interactive textbook containing A-Z explanations of concepts and methods, algorithms and their code implementations from the fields of data science, machine learning, deep learning, natural language processing, statistics, and more. TLM also seeks to link these fields to each other, highlighting their correlation.
  5. Cookiecutter Data Science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
  6. Faster Data Science Education at Kaggle.
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Best links of the week #1

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Best links of the week from 7th January to 13th January.

Blog/posts

  1. Price’s Law: Why Only A Few People Generate Half Of The Results at Darius Foroux’s blog.
  2. Why every data scientist shall read “The Book of Why” by Judea Pearl at Towards Data Science.
  3. Understanding Purposive Sampling at ThoughtCo., which is a non-probability sampling, as opposed to random sampling. More about it here at Research Methodology.
  4. Why it’s time to publish research “failures” at Elsevier Connect.
  5. If your journal still uses “statistical significance” in 2017, retire your statistical consultant at Miguel Hernán’s Twitter feed.
  6. Todos os filmes originais Netflix, classificados do pior ao melhor at Revista Bula.
  7. Links of the Week at Marcus Nunes’ blog, from where I took the idea to start my links of the week.
  8. ML IS NOT SORCERY: UNDERSTANDABLE MACHINE LEARNING FEATURES WITH DEEP HAAR SCATTERING NETWORKS at Fernando Fernandes’ blog.
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