Sarah Catanzaro

@sarahcat21

“All methods are sacred if they are internally necessary” (Partner , prev ; Head of Data ; ; )

Vrijeme pridruživanja: svibanj 2014.

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  1. Prikvačeni tweet
    8. sij 2018.

    My thoughts on ML interpretability, AI safety, and how we can leverage tech for good:

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  2. prije 20 sati
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  3. 3. velj

    Generative models won’t replace makers but they can invite creativity in such intriguing ways. Love this demo.

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  4. proslijedio/la je Tweet
    1. velj

    The Kansas City Chiefs' "Arrowhead Chop" chant isn't a tribute. It's racist.

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  5. 2. velj

    Gross to see people doing the tomahawk chop at a sports game in 2020. you should be ashamed.

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  6. 2. velj

    Let the Chiefs lose if only so that they reconsider their egregiously culturally inappropriate chant

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  7. proslijedio/la je Tweet
    30. sij

    Congrats on this funding milestone, team! And very excited about the integration 😍

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  8. 31. sij

    Ok, now back to . Because you’ve never seen a seed stage company with an introductory video this good: Seriously, watch it, and feel the envy.

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  9. 31. sij

    How generates various embeddings so they have a common representation for various types of entities

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  10. 31. sij

    . describes the various modules in the recommendation engines stack at and describes how these steps help improve recommendation quality and performance. And he talks about how they use ANN for candidate generation :)

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  11. 30. sij

    In case you were curious about real world use cases for ML, Gary Ren presents over a dozen ways uses ML

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  12. 30. sij

    Ananth Sankar from contends that transformer models have revolutionized NLP but pretraining is still necessary to make these models work in real-world settings.

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  13. 30. sij

    . notes that with high quality data and/or augmenting datasets with synthetic data, simpler models will often work.

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  14. 30. sij

    Muhammed Ahmed describes some of the challenges in combining different types of vector embeddings at

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  15. 30. sij

    Fascinating that is also using graph convnets for food recommendations (for online grocery). They’re also using generative GCN to grow graphs (e.g. to address cold start cases).

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  16. proslijedio/la je Tweet
    30. sij

    ✨ New: We now integrate with to help test your designs earlier and more often. Import prototypes from Figma into Maze for usability testing by just copying and pasting a link.

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  17. 30. sij

    . describes the challenging of getting labels and evaluating model performance when developing models to detect synthetic identity fraud, including avoiding distribution shift in prod.

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  18. 30. sij

    Pausing in the tweets to extol the virtues of and announce their seed funding. This company helps companies build better products. Full stop. And we are lucky to lead their round.

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  19. 30. sij

    . describes the system architecture of this recommendation systems and describes how transfer learning can help scale this model to other cities

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  20. 30. sij

    . describes how Uber represents nodes in a graph as embeddings with graph NN to create the most important feature in Uber’s meal and restaurant recommendation model

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  21. 30. sij

    “We don’t use anomaly detection during Black Friday/Cyber Monday when we depend heavily on real-time dashboards” - interesting take on the challenges that one faces when using ML in the real world from

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