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Stargazing in the desert during the new moon is really incredible. Hard to believe that we could be alone in the Universe.pic.twitter.com/qCSBlmizNA
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We are trying to get these AI cheatsheets accessible to more people around the world. If you want to help us with the translation into your own native language, you can contribute in this dedicated GitHub repo: https://github.com/shervinea/cheatsheet-translation …https://twitter.com/shervinea/status/1131798211390083072 …
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The table of contents extension is a simple yet very cool add-on that can save you a lot of time when working on a long Jupyter notebook: …https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions/toc2/README.html …
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Below are some of the best practices on how to make your work reproducible. These are essential when working in teams.https://twitter.com/kwbroman/status/1097107901003505664 …
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This website compiles neatly detailed Python tutorials on a wide range of topics: https://realpython.com/ Very useful for those who want to get a nice overview of various practical use cases.pic.twitter.com/g73eOYEgMp
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Afshine Amidi proslijedio/la je Tweet
We are trying to make our Deep Learning cheatsheets useful to more people around the world. If you want to help us with the translation into your own native language, you can contribute in this dedicated repo: http://github.com/shervinea/cheatsheet-translation …pic.twitter.com/DSV9NPv6l9
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Even though technical skills are of course useful and necessary, they are not sufficient. Conveying ideas in a clear and concise manner often proves to be at least as important.
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The best way to remember that correlation does not imply causation is to have a funny counterexample in mind. The following website compiles a bunch of them: http://tylervigen.com/spurious-correlations …pic.twitter.com/ruRd1cUVeW
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All data science projects have parts involving data, analyses and modeling. This website provides a nice overview of some good practices to follow when it comes to structuring your work: https://drivendata.github.io/cookiecutter-data-science/ …pic.twitter.com/njhOlx1ctR
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Set of illustrated Deep Learning cheatsheets covering the content of Stanford's CS 230 class: Convolutional Neural Networks: http://stanford.io/2Rc82Ff Recurrent Neural Networks: http://stanford.io/2TO7ur6 Tips and tricks: http://stanford.io/2PTymHP PDF version: http://github.com/afshinea/stanford-cs-230-deep-learning …pic.twitter.com/1eQX9PovOG
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Additionally, all of the useful SQL commands are summarized in the following doc: https://github.com/enochtangg/quick-SQL-cheatsheet …pic.twitter.com/PCa5HTPSuX
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Just found a website that lets you learn SQL in an interactive way. Particularly convenient for those who wish to get some practice. If you're interested, here it is: http://sqlzoo.net pic.twitter.com/qAM6dn8j3l
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Among all human qualities, I find humility to be one of the most underrated ones. Having in mind the limits of what is known and keeping an open mind on novel ideas are essential to improve him/herself.
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Grouping and moving meetings to the very start or end of the day is a great way to free up time in between. It avoids context switching, which definitely increases productivity.
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Leveraging the benefits of Git is crucial whether you are working in industry or in academia. The following resource is a great guide that gathers pretty much everything you need: http://rogerdudler.github.io/git-guide/ pic.twitter.com/xvr8Rjkvp8
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When Google Calendar tries to guess what my upcoming meeting is about with its automatically generated illustration... :)pic.twitter.com/HSvNHIHYzk
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If you find yourself repeating a same task again and again, automate it. Focusing instead on things that matter will greatly improve your productivity.
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A must-see for those wanting to better understand neural networks.https://twitter.com/shervinea/status/1051603663448236032 …
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We are trying to get these Machine Learning cheatsheets accessible to more people around the world. If you want to help us with the translation into your own native language, you can contribute in this dedicated repo: https://github.com/shervinea/cheatsheet-translation …pic.twitter.com/pK0B9a9KRx
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It is often tricky to work on a single Jupyter notebook with other people but Google's Colab tool makes it so easy to do so. Check it out:https://colab.research.google.com/notebooks/welcome.ipynb …
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