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SF Machine Learning

@SFMachineLearn

SF Bayarea Machine Learning meetup group

 San Francisco Bay Area
meetup.com/SF-Bayarea-Machine-Learning/
Joined September 2012
  • Tweets625
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  • Followers17.9K
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Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)Photo by SF Machine Learning (@SFMachineLearn)
"Over time, the factors that matter change." – at San Francisco, CA
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Tons of great ML / pipelines / systems talks at this year's (online) @ScaleByTheBay conference - 20% off registration with code "SFBAML20"
AI by the Bay (@ScaleByTheBay) profile pictureAI by the Bay@ScaleByTheBay26 Oct 2020
Automating boring ML stuff? Sign me up! The @SAPConcur team (Catherine Nelson @DrCatNelson, Hannes Hapke @hanneshapke) used @TensorFLow Extended and @Kubeflow Pipelines to increase the data quality that determines how accurate your ML actually is. scalebythebay2020.sched.com/…
Image from AI by the Bay (@ScaleByTheBay)
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SF Machine Learning retweeted
AI by the Bay (@ScaleByTheBay) profile picture
AI by the Bay@ScaleByTheBay23 Sep 2020
Early Bird is almost gone -- hurry up to get yours soon! scale.bythebay.io/register
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SF Machine Learning retweeted
AI by the Bay (@ScaleByTheBay) profile picture
AI by the Bay@ScaleByTheBay9 Sep 2020
And we are live! Scale By the Bay 2020 program is live and registration is open! Early bird through September 30. Become a Patron By the Bay so we run the best online event this year and return by the bay next year. Instantly sponsor with your logo. scale.bythebay.io
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SF Machine Learning retweeted
Anyscale (@anyscalecompute) profile picture
Anyscale
@anyscalecompute22 Aug 2020
Sign up for #RaySummit—A FREE virtual event about Ray, the open-source Python framework for building distributed applications that run at any scale. You'll hear from experts such as @wesmckinn, founder of Ursa Labs and the creator of the pandas project. buff.ly/31ipI9J
Image from Anyscale (@anyscalecompute)
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Exciting summer series of online ML talks from @anyscalecompute kicking off May 13th w/ Profs Michael Jordan & Ion Stoica, free registration here: eventbrite.com/e/the-future-…
The Future of ML and AI with Michael Jordan and Ion Stoica

The Future of ML and AI with Michael Jordan and Ion Stoica

Each month’s Ray Summit Connect event will last approximately one hour, with several short talks on the theme of the event.

eventbrite.com
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SF Machine Learning retweeted
AI by the Bay (@ScaleByTheBay) profile picture
AI by the Bay@ScaleByTheBay30 Oct 2019
A couple of days left till Late Bird tickets go on sale. Do not miss out and book your ticket now. buff.ly/2NX42LG
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SF Machine Learning retweeted
Pete Skomoroch (@peteskomoroch) profile picture
Pete Skomoroch
@peteskomoroch29 Oct 2019
Excited to moderate the panel on AI Products with @AnimaAnandkumar @pbailis @tnguyenvnut at @scalebythebay 2019 sched.co/RtTU #scaleSF
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SF Machine Learning retweeted
David Andrzejewski (@davidandrzej) profile picture
David Andrzejewski@davidandrzej27 Oct 2019
Highly recommend the excellent “Projects To Know” newsletter from @sarahcat21 & @AmplifyPartners: short, well-curated digests of interesting recent ML research papers, code repos, & blogs mailchi.mp/amplifypartners/p…
Projects To Know

Projects To Know

mailchi.mp
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SF Machine Learning retweeted
AI by the Bay (@ScaleByTheBay) profile picture
AI by the Bay@ScaleByTheBay9 Jul 2019
We've revealed the speaker line-up! Join us at #ScaleByTheBay in San Francisco this November and hear from the top minds in functional programming, service architectures, data pipelines, and AI/ML at scale. scale.bythebay.io/speakers
Image from AI by the Bay (@ScaleByTheBay)
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SF Machine Learning retweeted
Elvis Dohmatob (@dohmatobelvis) profile picture
Elvis Dohmatob@dohmatobelvis1 Jun 2019
Determinant Point Processes are a simple way to model probabilities on subsets (combinatorial objects), e.g playlists, shopping baskets, Ad banners, etc. Here are 2 preprints on the subject: (Non symmetric DPPs) arxiv.org/pdf/1905.12962.pdf (Deep DPPs) arxiv.org/abs/1811.07245 Plse RT
Image from Elvis Dohmatob (@dohmatobelvis)
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Discount code "UGSFBAML" for 20% off #OReillyAI in San Jose Sept 9-12 (early price ends June 14): oreil.ly/2VXjRFO
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SF Machine Learning retweeted
AI by the Bay (@ScaleByTheBay) profile picture
AI by the Bay@ScaleByTheBay30 Apr 2019
We are happy to announce the keynote speakers for SBTB 2019: @helenaedelson @jbeda @heathercmiller The CFP opens tomorrow and runs until May 31. Submit your best talks early on — functional programming — service architectures — data pipelines (including for ML/AI) — &more!
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Event of interest: O'Reilly #VelocityConf in San Jose (June 10-13) - save 20% w/ code "UGSFBAML", early price ends May 3 oreil.ly/2VpOcf3
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Thanks everyone for coming out to the meetup earlier this week, and especially @amlakhan and @l2k for the great talks, and @Nextdoor for hosting, food/drink, and video! Will post here and on the meetup page when videos are up meetup.com/SF-Bayarea-Machin…
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SF Machine Learning retweeted
Masters of Data (@mastersofdata) profile picture
Masters of Data@mastersofdata19 Mar 2019
On #MastersOfData, @BenoitNewton chats with @sarahcat21, a Principal at @amplifypartners who focuses on startups that apply tech advances in machine intelligence & enterprise infrastructure to solve real-world problems. Listen in. bit.ly/2WcQA5P
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Save 20% on upcoming O'Reilly conferences in San Jose with code "UGSFBAML": #OReillySACon oreil.ly/2ETt5HW #VelocityConf oreil.ly/2EVdEPt
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Thought-provoking blog post by @alexwg about the whether datasets or algorithms have a bigger impact on major AI/ML breakthroughs: "Datasets over Algorithms" spacemachine.net/views/2016/… – at San Francisco, CA
Datasets Over Algorithms — Space Machine

Datasets Over Algorithms — Space Machine

“Perhaps the most important news of our day is that datasets — not algorithms — might be the key limiting factor to development of human-level artificial intelligence,” according to Alexander...

spacemachine.net
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"Training data becomes your biggest expense in many serious machine learning projects." – at San Francisco, CA
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Back to @l2k's garage robots: a known pitfall of vision ML in robotics where the "target" object is not perfectly centered in the camera field of view (whereas they usually are big training corpora), causing degraded performance. – at San Francisco, CA
Meta-problem of ML projects: very hard to know what's actually going to be hard. Progress (or lack thereof) on ML problems can be unpredictable, and human intuitions about "hardness" may be misleading.
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