D-Wave: Power of Hybrid Quantum in Feature Selection and Machine Learning Workflows

Ғылым және технология

Machine learning experts no longer need to be experts in optimization or hybrid solving in order to get the benefits of both. D-Wave's feature selection / machine learning tools enable access to the power of quantum hybrid to supercharge feature selection/ML workflows, and includes a plugin for scikit-learn.
At this webinar, our speaker demonstrates the new capabilities, explains why it works well for these types of optimization problems, and answers questions. Try it out for yourself! Set up an account on Leap: cloud.dwavesys.com/leap/signup/

Пікірлер: 6

  • @YakumoLaplace
    @YakumoLaplace Жыл бұрын

    Great work!

  • @VaultBoy1776
    @VaultBoy177611 ай бұрын

    Good intel. Thank you

  • @jaykrizzle
    @jaykrizzle Жыл бұрын

    Has any work been done to allow LLMs to define optimization problems for D-Wave's annealers?

  • @jameelbarnes3458

    @jameelbarnes3458

    Жыл бұрын

    Has any work been done on allowing D-Wave annealers to optimize LLMs?

  • @eileenhalladay7647
    @eileenhalladay7647 Жыл бұрын

  • @haceks9110
    @haceks9110 Жыл бұрын

    Tőzsde off

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