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Prikvačeni tweet
My thoughts on ML interpretability, AI safety, and how we can leverage tech for good:https://machinelearnings.co/machine-learning-wont-reach-its-potential-without-the-human-element-5b030051cd9d …
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As they say, the best is yet to come...https://twitter.com/mazedesignHQ/status/1224663788256944128 …
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Generative models won’t replace makers but they can invite creativity in such intriguing ways. Love this demo.https://twitter.com/c_valenzuelab/status/1224365158740512769 …
0:29Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sarah Catanzaro proslijedio/la je Tweet
The Kansas City Chiefs' "Arrowhead Chop" chant isn't a tribute. It's racist.https://www.vox.com/first-person/2020/2/1/21115858/super-bowl-2020-chiefs-kansas-city …
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Gross to see people doing the tomahawk chop at a sports game in 2020.
@Chiefs you should be ashamed.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Let the Chiefs lose if only so that they reconsider their egregiously culturally inappropriate chant
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Sarah Catanzaro proslijedio/la je Tweet
Congrats on this funding milestone,
@mazedesignHQ team! And very excited about the@figmadesign integration
https://twitter.com/mazedesignHQ/status/1222959694031085568 …
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Ok, now back to
@mazedesignHQ. Because you’ve never seen a seed stage company with an introductory video this good: https://www.producthunt.com/posts/maze-figma … Seriously, watch it, and feel the envy.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How
@Pinterest generates various embeddings so they have a common representation for various types of entitiespic.twitter.com/KGrPxKDH2D
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@ZhaiAndrew describes the various modules in the recommendation engines stack at@Pinterest and describes how these steps help improve recommendation quality and performance. And he talks about how they use ANN for candidate generation :)pic.twitter.com/3KgypaozSn
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In case you were curious about real world use cases for ML, Gary Ren presents over a dozen ways
@DoorDash uses MLpic.twitter.com/x7WQzr304j
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Ananth Sankar from
@LinkedIn contends that transformer models have revolutionized NLP but pretraining is still necessary to make these models work in real-world settings.pic.twitter.com/ArSKi3HkkQ
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@viswanathgs notes that with high quality data and/or augmenting datasets with synthetic data, simpler models will often work.pic.twitter.com/pOtkB6nch0
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Muhammed Ahmed describes some of the challenges in combining different types of vector embeddings at
@Mailchimppic.twitter.com/cXvydZpbBZ
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Fascinating that
@Walmart 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).pic.twitter.com/4V7GMd9pPN
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Sarah Catanzaro proslijedio/la je Tweet
New: We now integrate with @mazedesignHQ 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.https://www.figma.com/blog/announcing-the-new-maze-figma-integration/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@SethHWeidman describes the challenging of getting labels and evaluating model performance when developing models to detect synthetic identity fraud, including avoiding distribution shift in prod.pic.twitter.com/MK1EOVpYZ7
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Pausing in the
@reworkAI tweets to extol the virtues of@mazedesignHQ and announce their seed funding. This company helps companies build better products. Full stop. And we are lucky to lead their round.https://twitter.com/amplifypartners/status/1222961343004721152 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@asj_ankit describes the system architecture of this recommendation systems and describes how transfer learning can help scale this model to other citiespic.twitter.com/l0peVMA3LM
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@w4nderlus7 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 modelpic.twitter.com/fxcle2DTEh
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“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
@frankiecancinoPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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