Miguel Martínez

@miguelusque

Deep Learning Data Scientist at NVIDIA. Challenge accepted! That will be my answer if the challenge is interesting enough.

London ⊕ Madrid
Vrijeme pridruživanja: kolovoz 2010.

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  1. Prikvačeni tweet
    1. pro 2019.

    I am almost sure that most of my network connections can donate some amount of money. Every penny counts. But what I am 100% sure is that the more this tweet is retweeted, the more money it will be collected. So, first donate and then retweet. THANK YOU!

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  2. proslijedio/la je Tweet
    prije 17 sati

    As explained in this article and video, works extensively with developers of HPC & AI applications to address the performance challenges in solving some of the world's toughest supercomputing problems.

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  3. proslijedio/la je Tweet
    prije 10 sati

    I just compared t-SNE algorithm on dataset in kernels between and . We are getting a 2000X speedup!

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    15x speedup on the kaggle winning competition thanks to , awesome to see such great results with !

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    4. velj
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  6. 5. velj

    Finally found it! The following link solves a frequent issue with non-officially supported screens on macOS. I am referring to blurry fonts when scrolling down some text. It works like a charm! I'd also suggest enabling Dark mode to get better results.

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  7. proslijedio/la je Tweet

    🌩️ It's not just PC gaming in the cloud. It's GeForce gaming in the cloud. Give yourself the with GeForce NOW — anywhere, any device, on demand. The wait is over. Available now. Learn more →

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  8. 4. velj

    is launching today! 🎮🥳🎉! Enjoy the power of NVIDIA for only 4,99$/month!

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  9. proslijedio/la je Tweet
    31. sij

    . goes all-in on Facebook's machine learning framework | VentureBeat

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  10. proslijedio/la je Tweet
    31. sij

    . is the only place crazy enough to conceive of rendering 4K 60+ Hz graphics at home by running a neural network for every frame. DLSS: Trained in , running on the Tensor Cores in RTX GPUs, redefining graphics with AI. And we’re just getting started!

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  11. proslijedio/la je Tweet
    30. sij

    Afraid that you are not good enough at or to start Kaggling? Don’t be. Check out many other valuable resources that you can find there. No matter what your proficiency level is, there is something for you there.

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  12. proslijedio/la je Tweet
    30. sij

    Passionate about algorithms, software engineering, , , s? My team is looking for smart, driven C++ data analytics software interns.

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  13. 31. sij
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  14. proslijedio/la je Tweet
    30. sij

    40x faster predictions for even the deepest random forests with FIL’s new sparse forest support -

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  15. proslijedio/la je Tweet
    29. sij

    Muchas gracias a todos que habéis participado en el primer evento de by En especial a nuestro primer speaker que ha dado un pedazo de charla y a todos los que os habéis acercado hoy. – mjesto: Sngular Hub

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  16. 29. sij

    If you’d like to use RAPIDS in Kaggle competitions, now it can be easily installed with the dataset below. It takes ~40 seconds to install, compared to ~6 minutes when using conda install.

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  17. 28. sij

    Join me at ! I'll be speaking in London 20–23 April. Register before 31 January to take advantage of Best Price on your pass!

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  18. proslijedio/la je Tweet
    27. sij
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  19. proslijedio/la je Tweet
    27. sij

    Tired of looking at your logs in silos? Increase the quantity and variety of logs analyzed with . In our blog, we analyze +300k raw alerts in under 3 seconds, including co-occurence analysis and rolling timeseries of alerts -

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  20. 27. sij
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  21. 27. sij

    Schrödinger's cat and Quantum Computers together. (video in Spanish)

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