Best links of the week #31

Best links of the week #30

Best links of the week #29

Best links of the week #27

Best links of the week #21

Best links of the week #18

Best links of the week #16

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

You can check this comic here

Links

  1. Do more with R: drag-and-drop ggplot at InfoWorld.
  2. Apart from esquisse, the package mentioned in the link above, there is another one that allows you to drag-and-drop and plot your data: ggplotAssist.
  3. DreamRs is a French R consulting firm. In their website, they have made publicly available some shiny apps on real data, such as RATP traffic and a GitHub dashboard.
  4. VCs just invested $8 million into this startup that gave away its software for free because they noticed how much people loved it!
  5. Cheat Sheets for several softwares and concepts related to Data Science at Asif Bhat GitHub.
  6. Data Science must read articles, tutorials and useful links at Asif Bhat GitHub.
  7. Math required for Data Science at Asif Bhat GitHub.
  8. Quick overview of Statistics for Biologists (it’s useful for pretty much everybody, you don’t say no to an offer of knowledge :-).
  9. How can I show the intermediate steps of a long routine in R? at StackOverflow.
  10. ‘Friendly’ reviewers rate grant applications more highly at Nature.
  11. Calm down, everyone. Keeping dead pig cells alive is not ‘brain resuscitation’ at Los Angeles Times.
  12. Uber is sharing publicly some data!
  13. Need help on choosing the right visualization method? From data-to-viz can help you!
  14. IBM releases Diversity in Faces, a dataset with over 1 million annotated images to help fight bias at Turing Tribe.
  15. Até 2030, AI contribuirá em mais de US$ 15,7 trilhões para economia global at Computer World.
  16. A extraordinária cientista que estudou o cérebro de Einstein e revolucionou a neurociência moderna at Época Negócios.
  17. TerraBrasilis, a open access public geographical data for environmental monitoring.
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Best links of the week #15

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

Links

  1. When it comes to clustering, depending on the algorithm used, one may have a hard time determining the appropriate k (number of clusters). Some algorithms do not require it, but for the ones that do, such as k-means, you should have a look at the elbow method to evaluate the appropriate k or at the silhouette of objects regarding the clusters.
  2. Dunder Data is a professional training company dedicated to teaching data science and machine learning. There is paid and free online material.
  3. Software Carpentry, teaching basic lab skills for research computing.
  4. ROpenSci, transforming science through open data and software.
  5. mlmaisleve, conceitos rápidos e leves sobre Machine Learning ?.
  6. kite, Code Faster in Python with Line-of-Code Completions.
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Best links of the week #14