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  1. proslijedio/la je Tweet
    3. velj

    Zoubin Ghahramani, Head of Uber AI, discusses how we use artificial intelligence techniques to make our platform more efficient for users.

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  2. proslijedio/la je Tweet
    2. velj

    Our forthcoming book dives deep into different tabular modeling approaches, with many experiments. But I'll save you from reading the whole thing, and just show you the conclusion.

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  3. proslijedio/la je Tweet
    31. sij

    Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models.

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  4. 30. sij

    ⚡️ “'Per my last email': The real meaning behind corporate catchphrases”

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  5. proslijedio/la je Tweet
    28. sij

    1/ A year ago, we wrote about the potential of serverless, but we felt existing infra had key shortcomings. We spent the last year solving some of the core challenges around FaaS + state management, and we're excited to share our progress:

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  6. proslijedio/la je Tweet
    24. sij

    I’m proud of what we have accomplished together with data in 2019: The millions of VMs and exabytes of data per day contributed to important social issues (energy, diseases, market manipulation). Here’s a recap of 2019:

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  7. proslijedio/la je Tweet
    22. sij

    The program for (formerly SysML) is out. Looks like a great mix of papers at the intersection of machine learning and computer systems (some ML for computer systems, some on computer systems for ML).

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  8. proslijedio/la je Tweet
    23. sij

    New on the blog today: We implemented a Kappa architecture at to effectively backfill streaming data at scale, ensuring accurate data in our platform.

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  9. proslijedio/la je Tweet
    23. sij

    Need for speed! 🏎💨 The new /d2ReducedOptimizeHugeFunctions flag in Visual Studio 2019 v16.4 brought our TensorFlow 2.1.0 release builds down from over 48 hours (VS 2017) to under 4. 🏁 This is a huge win! Thanks to the team for their work on this.

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  10. proslijedio/la je Tweet
    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

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  11. proslijedio/la je Tweet

    Although neural networks usually require massive datasets to do impressive things, for me the highlight of is the fact that it achieved state-of-the-art using only 30K training examples. Code: Paper:

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  12. proslijedio/la je Tweet
    16. sij

    I did a deep-dive into Pages, and found it's possible to create a *really* easy way to host your own blog: no code, no terminal, no template syntax. I made "fast_template" to pull this together, & a guide showing beginners how to get blogging

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  13. proslijedio/la je Tweet
    18. sij

    Another popular work on as internal github book in the making. Well done!

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  14. proslijedio/la je Tweet
    16. sij

    Introducing Reformer, an efficiency optimized architecture, based on the Transformer model for language understanding, that can handle context windows of up to 1 million words, all on a single accelerator with only 16GB of memory. Read all about it ↓

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  15. proslijedio/la je Tweet
    10. sij

    Google spent a decade researching what makes a great boss. They came up with these 10 things.

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  16. proslijedio/la je Tweet
    9. sij

    Wow this was more popular than I expected. I've now made the whole thing publicly available under a CC SA license, so you can use it yourself, even in a commercial context! :)

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  17. proslijedio/la je Tweet
    9. sij
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  18. proslijedio/la je Tweet
    8. sij

    In this article, we look at XGBoost: an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable.

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  19. proslijedio/la je Tweet
    8. sij

    We’re looking back at some of our most notable posts from 2019. See the highlights and learn more about our work.

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