Calc Consulting

@CalcCon

Calculation Consulting is a boutique consultancy that specializes in machine learning and data science

San Francisco
Vrijeme pridruživanja: siječanj 2013.

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  1. proslijedio/la je Tweet
    29. sij

    The final episode in our month-long series on "Buying in the Enterprise" on the AI in Industry podcast: "How to Determine Your AI Project Needs and Avoid Costly Risks" - with Dr. Charles Martin Full episode up on SoundCloud today:

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  2. proslijedio/la je Tweet

    There are certain fields that have been around long enough (example: Physics) and principles are well established that a Ph.D. has an extreme advantage. There are fields that are so new and do *not* have decades worth of principles that a PH.D. has less of an advantage.

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  3. 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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  4. proslijedio/la je Tweet
    29. sij

    Understanding 'fat tails' now trending!

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  5. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  6. proslijedio/la je Tweet
    28. sij

    This is why we continue to outperform: all of our entrepreneurs are doing exactly this, in a field of VCs that mostly prefer to fund trivial things.

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  7. proslijedio/la je Tweet
    22. sij

    We must built new smaller cheaper safer better nuclear plants! We know how...

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  8. proslijedio/la je Tweet
    22. sij

    The quiet semisupervised revolution continues

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  9. proslijedio/la je Tweet
    21. sij

    Product-market fit

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  10. proslijedio/la je Tweet
    18. sij

    To watch: Statistical Mechanics for Deep Learning ( ) presented in October 2019.

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  11. proslijedio/la je Tweet
    15. sij

    Heard that neural nets can't generalize? Not always true! For instance, in work we did with and many great collaborators, a model trained on one dataset generalized to many other labs, species, microscopes, and modalities!

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  12. proslijedio/la je Tweet

    In a few minutes I will testify before the House Committee on Science, Space and Technology where I will call for a Green Nuclear Deal! Will be recorded by C-SPAN Please share! ❤️✊🏼⁩ ⁦

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  13. proslijedio/la je Tweet
    11. sij
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  14. proslijedio/la je Tweet
    12. sij

    The question should be “Is NOT having nuclear power worth the risk?”

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  15. proslijedio/la je Tweet
    9. sij

    Because there is nothing more useful than a mathematical trick, and thanks to your feedback, find the updated ML trick slide -:) Please RT, add even more to the list !!!

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  16. proslijedio/la je Tweet
    9. sij

    What I did over my winter break! It gives me great pleasure to share this summary of some of our work in 2019, on behalf of all my colleagues at & .

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  17. proslijedio/la je Tweet
    9. sij

    Types of AI skeptics: - It will never be autonomous (Rodney Brooks) - It's biased (NYT) - It is not symbolic enough (Gary Marcus) - It's not AI, it's just software (Dave Aron) - It will probably kill you (Eliezer Yudkowsky)

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  18. proslijedio/la je Tweet
    8. sij

    TIL Google invented universal language model pre-training with BERT.

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  19. proslijedio/la je Tweet
    8. sij
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  20. proslijedio/la je Tweet
    7. sij

    Just the facts. The US is still in the lead but China and Russia may be catching up in nuclear leadership

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