Francisco Sosa

@fjsosah

I have approximate knowledge of some things with a certain degree of confidence given certain conditions. Data Scientist | Machine learning | Bayesian

Guatemala
Joined October 2011

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  1. Retweeted
    4 hours ago

    Forty hour workweeks are a relic of the Industrial Age. Knowledge workers function like athletes - train and sprint, then rest and reassess.

  2. Retweeted
    Jun 9

    ICYMI: Deep Learning Pipelines, a new library that makes deep learning drastically easier to use and scale

  3. Retweeted
    Jun 6
  4. Retweeted
    Jun 6

    Use code AUTHD to get 50% discount (on ebook) and 40% (on print). Spark: The Definitive Guide by

  5. Retweeted
    Jun 6

    Refreshing update from to the infamous Venn diagram. How to make a company data-informed, not how to be a unicorn

  6. Retweeted
    Jun 4

    A nice thread on using Keras + . NOTE: is Keras's author who is answering questions:

  7. Retweeted
    Jun 2

    Google sent to push & TPUs in China, but has stiff competition from government & incumbents

  8. Jun 2

    Boss last month: I need a machine learning for [ill-defined obj] Boss today: Forget that machine learning stuff I need a Neural Net

  9. Retweeted
    Jun 2

    Get ready. You're going to talk to all of your gadgets – and they're going to talk back.

  10. Retweeted
    May 31

    Exploring LSTMs: tutorial + discovery Finally moving my blog into modern times.

  11. Retweeted
    Jun 1

    Responsive Bar Charts with Bokeh, Flask and Python 3 via 📊 🐍

  12. Retweeted
    May 31

    New post on placing AlphaGo in context of AI research trying to mix in a pinch of low-level depth to popsci/PR

  13. Retweeted
    May 31

    as the new "Plastics". and Zuckerberg speaking to graduates on impact of AI, Robotics, Jobs.

  14. Retweeted
    May 30
  15. Retweeted
    May 28

    Sobering and persuasive : blockchain isn't 90's Internet, it's 90's Linux:

  16. Retweeted
    May 28

    Machine-learning promises to shake up large swathes of finance

  17. Retweeted
    May 28

    Applying deep learning to real world problems. Solving real problems require dirty grunt work+working w/ messy data.

  18. Retweeted
    May 28

    Neat overview of computational grahps from Stanford's cs231n lecture:

  19. Retweeted
    May 27

    Here's the video of the talk that we gave with at I/O, "Effective TensorFlow for Non-Experts":

  20. Retweeted
    May 24

    Good tutorial from Stanford, comparing between TensorFlow 😫 and PyTorch 🔥

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