WiMLDS Bay Area

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WiMLDS Bay Area

WiMLDS Bay Area

@WiMLDS_BayArea

The San Francisco Bay Area chapter of @wimlds. Established in 2013. #MachineLearning #DataScience #Diversity #Inclusion

Bay Area, California, USA Katılım Ağustos 2017
848 Takip Edilen1.1K Takipçiler
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Alex Hanna (اليكس حنٌا)
I'm so excited to be in conversation with the AMAZING Karla Ortiz over at the @SFPublicLibrary about AI and Art! Bay Area folks, come through on Saturday!
Karla Ortiz@kortizart

Are you in San Francisco? This Saturday from 1-3pm, join the incredible @alexhanna and myself at the San Francisco Library for a conversation on generative AI, its impact and the Arts! It'll be a fantastic and informative time! Come join us! :) sfpl.org/events/2023/12…

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@emilymbender.bsky.social
@emilymbender.bsky.social@emilymbender·
I'm really looking forward to this! I'm excited to be talking to this audience and really enthusiastic about the format that @mmitchell_ai and I have planned.
Ruth Starkman@ruthstarkman

Here's the registration for 🌟@emilymbender and @mmitchell_ai 🌟 talk @Stanford Dec 2 "Collective Action for Ethical Technology" webinar sign up and Q&A options will be posted soon too eventbrite.com/e/envisioning-… @Eventbrite

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Emily Hoeven
Emily Hoeven@emily_hoeven·
BREAKING: @GavinNewsom has signed a bill to require California employers w/ 15+ workers to provide a salary range on all job postings & authorize the state to collect aggregate data broken down by race, ethnicity and sex, according to CA Legislative Women's Caucus. 🧵
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Giada Pistilli
Giada Pistilli@GiadaPistilli·
Hi there! I will be in San Francisco from October 4th until the 18th. Who's around to grab a coffee and chat about AI and ethics?
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WiMLDS Bay Area@WiMLDS_BayArea·
You are invited to WiMLDS x C3 AI Tech Talks, featuring women in ML and DS from C3 AI. We will share real-world examples of data science problems we solve. Check out the Bay Area #WiMLDS Meetup for more details. We have limited seats! Register for free-> shorturl.at/hjLWY
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Berkeley Statistics
Berkeley Statistics@UCBStatistics·
We are very pleased to announce that Professor Bin Yu has been named the inaugural recipient of the IBS/WNAR Outstanding Impact Award! She will give the award lecture the 2022 JSM. Congrats Bin! You can read more about this accomplishment here: statistics.berkeley.edu/about/news/bin…
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WiMLDS Bay Area@WiMLDS_BayArea·
Are you an Engineering Manager or curious about management roles? Then our next meetup is for you! 📅 Thursday, April 28th at 6pm Pacific (on Zoom) RSVP here: meetup.com/Bay-Area-Women…
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Rosanne Liu
Rosanne Liu@savvyRL·
If you plan to attend the (first ever) @MosaicML x @ml_collective partnership *in-person* event, registration is closing in three days. After that it will be much harder to get in. We are COVID cautious and will cap the density. Be sure to register!
Jonathan Frankle@jefrankle

Announcing the BAY AREA EFFICIENT ML POSTER SESSION on Thur 3/31 in Palo Alto. Are you sad that MLSys was postponed? Do you miss getting to see research friends in person? Me too! Submit abstracts for work-in-progress or pandemic-era publications by 3/22. sites.google.com/mosaicml.com/e…

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Abeba Birhane
Abeba Birhane@Abebab·
this is a great example of how ML really is nothing more than pattern finding in data AI doesn't (and can't) make sense of the social world the way humans do and any patterns picked could be these silly details than anything fundamental about a behaviour we are modelling
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Erin LeDell - ledell.bsky.social
This Friday, I will be presenting a new research direction in interpretable & fair ML, called "Admissible Machine Learning." I will also teach you how to use these new methods in #rstats and #Python, which are available in #opensource H2O! 🌊 Register for free below.👇
MS in Data Science, USF@usfca_msds

Our Seminar Series continues this Friday with @ledell , Chief Machine Learning Scientist at @h2oai! Her seminar will focus on new methodological tools for interpretable and fair machine learning: Admissible Machine Learning and the Infogram. RSVP: usfca.zoom.us/webinar/regist…

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