Best links of the week #30

Best links of the week #27

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

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 #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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