Fabian Höring

@f_hoering

Software Engineer @ Criteo

Paris, France
Vrijeme pridruživanja: svibanj 2017.

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  1. proslijedio/la je Tweet
    27. sij

    We're in the middle of migrating one of our biggest apps (5000+ servers) to .net core. In yellow is CPU usage for .net framework + . In green is .net core 3.1 + aspnetcore. We've migrated other apps but it's the first time we see such a dramatic improvement

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  2. proslijedio/la je Tweet
    17. sij

    Put yourself in Berlin! The call for proposals to speak at the superb 2020 conference is open. Deadline to apply is 16 Feb. Conference in June. The call for submissions link:

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  3. 7. sij
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  4. proslijedio/la je Tweet
    23. pro 2019.
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  5. 20. stu 2019.

    Having access to a Hadoop cluster ? Want to run on it ? It has never been easier to launch a job and keep track of it. tf-yarn now integrates with your server. It tracks default metrics and all container logs. More infos on

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  6. proslijedio/la je Tweet
    3. lis 2019.

    and now opening our Criteo AI Lab first anniversary event! A full day of insighting panels about the future of AI

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  7. proslijedio/la je Tweet
    6. ruj 2019.

    My data are not big... there are huge 🤣 Obviously, the matrix is sparse. I tried the sklearn Logistic Regression in . It works! I trained my first models ... I will now push a couple of small PR in dask-glm to improve the support of sparse matrices.

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  8. proslijedio/la je Tweet
    4. ruj 2019.

    Added an example to Skein showing a simple web application that accepts a Python script and submits to run on YARN on behalf of a user. All of this plugs-in to Hadoop's security model (kerberos, etc...) transparently.

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  9. 9. kol 2019.

    I made my first PR to I admit it is an easy one but it is also nice that 'pip install -e .' with mlflow master branch works out of the box to quickly test local changes.

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  10. proslijedio/la je Tweet
    2. kol 2019.

    We made our first significant PR to ((link: ) …). The UI is up to 3X faster when it lists runs that contain timeseries metrics. Kudos to that made the PR and dbczumar that reviewed and amended it.

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  11. proslijedio/la je Tweet
    27. srp 2019.

    That's quite astonishing. If I'm reading this right, PyTorch grew 194% in research use last year (based on arxiv mentions) and TensorFlow only grew 23%, meaning they're now neck and neck. In another year TensorFlow may just be a small minority player in research

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  12. proslijedio/la je Tweet
    26. srp 2019.

    The 42nd edition of took place in Paris, where we were born, and we couldn’t miss it! From top-notch keynotes to great papers and much more, get an overview of the awesome works we saw👏 Authors:

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  13. 23. srp 2019.

    Seems like one can directly setup a Hadoop3 cluster on Azure with HDInsight. Probably what they are going to do instead of migrating all their Hadoop jobs.

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  14. proslijedio/la je Tweet
    11. srp 2019.

    Kickoff this afternoon: It is a go! This summer, my team will set up at a central service. Looking forward to our first pull requests!

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  15. proslijedio/la je Tweet
    6. lip 2019.

    In our last article, we tell you more about a Python library we have built for training models on a YARN cluster! Thanks to and all writers who took part in the writing.

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  16. proslijedio/la je Tweet
    22. svi 2019.

    Prochain Tech Meetup à Paris : Data is the new oil, avec Elise ('13) et Marc ('07) sur les métiers de Data Scientist et Data Engineer. 📅 Mardi 4 Juin 📍

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  17. 12. tra 2019.

    We released tf-yarn on pypi. If you want to run Tensorflow on Hadoop have a look at tf-yarn.

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  18. proslijedio/la je Tweet
    19. velj 2019.

    Today, let's explore data using pyspark. Then train your first tensorflow DNN on our hadoop cluster.

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  19. proslijedio/la je Tweet
    9. sij 2019.

    📣To the experts out-there, we are offering a crash-course on combining lectures and exercises with ! 📅 20 seats available, apply before January 14th

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  20. proslijedio/la je Tweet
    8. sij 2019.

    How to package code with Pex? Well, be prepared for two good news 🙌 ▶ managed to do so using ▶ he is sharing his experience on the matter directly with you ! 👉

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