DataKind DC
@DataKindDC
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@DataKind tackles humanity's biggest problems through data science. DKDC launched in 2014 and is 1 of 6 Chapters worldwide. https://t.co/wJhtoaVJBc
Washington, DC
Joined June 2014
DataKind DC is looking for some new Chapter Leaders to support data for good projects. If you have a data science background, an interest in community leadership, and are based in the Washington DC area, we'd welcome your application (or your RT)! https://t.co/SGdq2HYm85
docs.google.com
Thank you for your interest in becoming a Chapter Co-Leader! We depend on expert volunteers to lead our mission around the world, and we're so pleased that you're applying. We are currently recruit...
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At the capstone project for Georgetown's DSAN capstone projects. Looking forward to seeing their work for @hi_Hildreth
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Off to the start of a Data dive at Georgetown partnering with the Data Science and Analytics program!
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Take a look back at @DataKindDC's first-ever Citizen Science #DataDive where more than 50 volunteer #datascientists worked with @NatGeo, @audubonsociety, @Earth_Challenge, among others. Check it out! https://t.co/c4tR1GKoHw
#WorldOceansDay #dataforgood
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At a talk at @DataVizDC by Juan Vega about work done in partnership with @DataKindDC and the nonprofit starting with today
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Been working on LLMs in production lately. Here is an initial thoughtdump on LLMOps trends I’ve observed, compared/contrasted with their MLOps counterparts (no, this thread was not written by chat gpt)
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Kicking off our first in person Data Dive since the pandemic started!
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Join us for our first in person DataDive in over two and a half years at Georgetown University on October 22! https://t.co/VNP7n5mpyw
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We will be having a Data Dive in late October (announcement on Meetup to follow soon!). We are seeking DAs and volunteers for two new projects! Descriptions are in the application:
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📈 New (1h15m) video lecture (#3): The spelled-out intro to language modeling: building makemore. Part 2: MLP https://t.co/tBnlGWOVAs > We continue our implementation of makemore: the multi layer perceptron (MLP) language model of Bengio et al. 2003
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Introducing "This JACS does not exist": I trained a bunch of AIs to generate chemistry paper ToCs with relevant titles and abstracts! Check it out here: https://t.co/8fH7Wwe6Cj and twitter bot @tocbot1.
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!!!! Ok I recorded a (new!) 2h25m lecture on "The spelled-out intro to neural networks and backpropagation: building micrograd" https://t.co/KQ23lQW1BT . This is the culmination of about 8 years of obsessing about the best way to explain neural nets and backprop.
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Join us September 16 for our 10 Year Anniversary virtual event! We'll celebrate the Power of a Decade of #dataforgood, #DataKind's impact using #datascience & #AI to advance the social sector, and explore what the future can bring together. https://t.co/vi41RCrZu9
#DKx10 #UNGA77
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We're thrilled to launch #Nonprofit #Data 101, a free webinar series + office hours for social sector professionals! Our first webinar will be on Wednesday, August 24, 10am ET, covering Data Project Scoping. For more info. and to register: https://t.co/tUzZlsyiko
#DataKind
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Join us September 16 for our 10 Year Anniversary virtual event, celebrating the Power of a Decade of #dataforgood, #DataKind's impact using #datascience and #AI to advance the social sector, and exploring what the future can bring together. https://t.co/vi41RCrZu9
#DKx10 #UNGA77
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I'm really excited about this new offering from DataKind's Center of Excellence! Vote in the poll or comment below to let us know what topics we should be covering to best support social sector organizations...
We're launching a webinar series + office hours for the social sector on how nonprofits can use #datascience and #AI. What topics should we cover? Vote or comment below!🤔 #DataKind #dataforgood
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