Sanghamitra Deb

@sangha_deb

Machine Learning/Artificial Intelligence in Ed Tech. Currently , former , astrophysics. Interested in Diversity & Inclusion. she/her

SanFrancisco
Vrijeme pridruživanja: siječanj 2013.

Tweetovi

Blokirali ste korisnika/cu @sangha_deb

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @sangha_deb

  1. prije 16 sati

    Looking forward to learning about your in

    Prikaži ovu nit
    Poništi
  2. prije 16 sati

    I am organizing the session at BayLAN 2020. BayLAN connects professionals in , , and from , . Please your here.

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet

    Welcome Keynote speakers , CEO and Founder of ; and , Dean and Roy W. Carlson Professor of . Join us March 2nd in-person, or online. See the schedule:

    Poništi
  4. proslijedio/la je Tweet
    3. velj

    Help revolutionize the world with full self-driving by joining us at Tesla Autopilot: It is very hard to find other places where AI expertise makes as much of a difference on as big of a problem.

    Poništi
  5. proslijedio/la je Tweet
    29. sij

    To solve y'' + p(x) y' + q(x) y = 0, assume a power series for y, plug it in, and solve recurrence for coefficients.

    Poništi
  6. proslijedio/la je Tweet
    28. sij

    Microsoft ImageBERT. The paper introduced a new vision-languange pretrained model for image-text joint embedding. The experiment shows the multi-stage pre-training strategy outperforms single-stage pretraining. Also this approach achieve new SOTA result!

    Poništi
  7. proslijedio/la je Tweet
    24. sij

    is one of the most important techniques I don't often recommend PhD Thesis' - 's is exceptional. He's a brilliant writer! Check out this taxonomy / table of contents!!! 👇👇👇

    Poništi
  8. 23. sij

    This work was stemmed by during her summer internship.

    Prikaži ovu nit
    Poništi
  9. proslijedio/la je Tweet
    19. sij
    Poništi
  10. 19. sij

    I will speak on "How to start your first project?" . Thanks to for the invite. Excited to present and meet other industry leaders at the conference.

    Prikaži ovu nit
    Poništi
  11. proslijedio/la je Tweet

    This makes a lot of sense. Bayesian methods are computationally expensive so there needs to be a clear advantage for using them. Without good priors we don't expect good generalization. Nice work!

    Poništi
  12. proslijedio/la je Tweet
    18. sij

    Naive grad student: "Truly only the most ground-breaking science gets published in . I will strive to one day achieve that feat." : Publishes a paper where scientists dropped paper and studied the falling behavior. Oh, academia. ¯\_(ツ)_/¯

    Poništi
  13. proslijedio/la je Tweet
    18. sij

    This won’t get any reach I’m sure because nobody really gives a shit about bullying but.... exhibit A:

    Poništi
  14. proslijedio/la je Tweet
    17. sij

    My advisor—whom I consider a demi-god and is the model of how to be a good supervisor/educator/researcher—insisted that I take full credit for any of my own ideas and hypothesis. The only time he ‘allowed’ “we” is when I was delivering my conclusion (ie, “as we can see” etc)

    Poništi
  15. proslijedio/la je Tweet
    17. sij

    The Diversity-Innovation Paradox in Science: Why does greater diversity in research teams increase innovation but not directly reward minority scholars? New from , , Sebastian Munoz-Najar Galvez, Bryan He, , and Dan McFarland.

    Poništi
  16. proslijedio/la je Tweet
    14. sij

    What will the new age of computer-assisted learning and decision-making look like? expert talks with on The Future of Everything.

    Poništi
  17. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

    Poništi
  18. proslijedio/la je Tweet
    8. sij

    I prepared a new notebook for my Deep Learning class: Joint Intent Classification and Slot Filling with BERT: This a step by step tutorial to build a simple Natural Language Understanding system using the voice assistant dataset (English only).

    Prikaži ovu nit
    Poništi
  19. proslijedio/la je Tweet
    5. sij

    NLP Year in Review — 2019 An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by .

    Poništi
  20. proslijedio/la je Tweet
    26. pro 2019.

    We organized 16 meetups this year including 5 "hors-série" meetups! We also visited 1 exhibition and launched our very first sessions 📚 thanks to !

    , , i još njih 6
    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·