SuperDataScience

@superdatasci

SuperDataScience is an online educational portal for Data Scientists. The company’s mission is to “Make The Complex Simple”.

Vrijeme pridruživanja: studeni 2016.

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  1. 6. pro 2019.

    Are data scientists and data engineers the same? Well, of course not. But why is it so important for businesses to make a clear distinction between the two? Read here:

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  2. 5. pro 2019.

    Here's a fun way to practice creating maps with R!

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  3. 4. pro 2019.

    Entertaining post from TowardsDataScience here: how to build intuitive and useful pipelines with Pandas DataFrame using a wonderful little library called pdpipe.

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  4. 3. pro 2019.

    A very funny read (especially for all the statisticians out there). Terence teaches in University of San Francisco's MS in Data Science program, and he decided to "translate" statisticians' vocabulary to a "common tongue". Enjoy!

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  5. 2. pro 2019.

    The new rule went into effect on Sunday for China - all mobile phone users must submit to mandatory facial recognition scans. What are your thoughts on this?

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  6. 29. stu 2019.

    Are you ready to get your premium SuperDataScience membership at a special price? Our amazing offer is now open! Hurry up and get it here:

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  7. 27. stu 2019.

    Interesting news from MIT! Have you heard about soft robots?

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  8. 25. stu 2019.

    Great read from Machine Learning Mastery! In this tutorial, Jason Brownlee Ph.D. explains how to encode categorical data when developing neural network models in Keras.

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  9. 24. stu 2019.

    Petr Plecháč at the Czech Academy of Sciences in Prague claims that he has answered the question who wrote parts of Shakspeare's Henry VIII - using machine learning!

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  10. 23. stu 2019.

    Yep. We really felt this one.

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  11. 22. stu 2019.

    Congrats to our winners! Ashok Bhatta, Shivam Singh, Prasad Chanaka, Abhishek Bhatia and Yves Holenstein. Stay tuned for more incentives!

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  12. 22. stu 2019.

    For those of you familiar with first appearance on our podcast, we're excited to have this amazing lady back with more insights! Tune in:

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  13. 22. stu 2019.

    Enjoy this breakdown of "stochastic" in machine learning:

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  14. 21. stu 2019.

    Any RaspberryPi enthusiasts? This one is for you:

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  15. 20. stu 2019.

    Are you familiar with Microsoft's project Silica - a research endevour to store digital data on a piece of quartz glass? Read about this amazing new technology:

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  16. 19. stu 2019.

    If you ever get asked to automate your analysis and port your models to production environments, these tips might come in handy!

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  17. 18. stu 2019.

    For listeners out there who are curious about finding their spot in the data science field, is a testament to and what it can do for those interested in a career in .

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  18. 15. stu 2019.

    Relatable, anyone?

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  19. 14. stu 2019.

    Are you finally determined to tackle learning Python but think you could use some additional learning materials to help you? Then read on:

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  20. 13. stu 2019.

    This open-source tool from might just help you to make your own karaoke version of songs!

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