Bob Flagg 🗽 (@calcworks) header
Bob Flagg 🗽 (@calcworks) profile picture

Mathematician masquerading as a data scientist

Portland, ME
Joined March 2011
Photo by Bob Flagg 🗽 (@calcworks)Photo by Bob Flagg 🗽 (@calcworks)Photo by Bob Flagg 🗽 (@calcworks)Photo by Bob Flagg 🗽 (@calcworks)Photo by Bob Flagg 🗽 (@calcworks)Photo by Bob Flagg 🗽 (@calcworks)
Bob Flagg 🗽 retweeted
Find out more about our original analysis of over 12,000 of Trump's statements on immigration, including the effects of repeating falsehoods: themarshallproject.org/2024/…
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Bob Flagg 🗽 retweeted
Research shows the more times you hear a statement, the more likely you are to believe it. We analyzed >12,000 of Trump’s immigration statements & found his most repeated claims, some of which he's made >500 times. All false. Here they are, fact-checked: themarshallproject.org/2024/…
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So excited to join Systematically Improving RAG Applications's course. Looking for a few friends to join me! maven.com/s/ac127370ab
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With @elonmusk destroying twitter in real time, We'll need an alternative platform to keep up with AI/ML/NLP. Mastodon looks great! I've gone with sigmoid.social, which is catching on quickly with the AI folks. sigmoid.social/web/@bobflagg
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In 6 days we will shut down the Congressional Baseball Game. But we need more people to pull it off. Can you RT and follow along so we can invite enough people?
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We're grateful to be among those receiving this honor from @mujschool, recognizing our newsroom's work in criminal justice journalism: trib.al/Ycb9xT5
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THREAD: Our new analysis reveals 1 in 3 people held in a U.S. Border Patrol facility since 2017 was a minor — 650,000 youths. Children speak of harsh, demeaning and sometimes dangerous treatment: “I was scared in there.” trib.al/5Wk1E4d
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This looks like a great JAX resource!
📔 If you're coming from @PyTorch+@PyTorchLightnin, and hankering to explore a theory-focused introductory course to JAX with Flax (CNNs, GNNs, more), check out these @GoogleColab course materials: 👉uvadlc-notebooks.readthedocs… Notebooks will train up to 3x faster out of the box!🎉
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Bob Flagg 🗽 retweeted
The Principles of Deep Learning Theory Relatively accessible and self-contained textbook (concepts explained from first principles) on deep learning theory. Gives a theoretical perspective on topics from network initialization to representation learning. arxiv.org/abs/2106.10165
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UCLA Computer Science Professor Amit Sahai explains the same concept, Zero-Knowledge Proof, to a child, a teenager, a college student, a grad student, and an expert. 😯 youtube.com/watch?v=fOGdb1CT…
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Bob Flagg 🗽 retweeted
In 2006, the U.S. Senate unanimously reauthorized the Voting Rights Act. But today, only one GOP senator supports it. And none have endorsed the Freedom to Vote Act. So unless we do something about the filibuster, we’re letting Mitch McConnell veto the sacred right to vote.
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Today's a big linear algebra day: finally understand the proof of the Courant–Fischer Theorem thanks to Horn Johnson! #DataScience #Mathematics #Statistics #LinearAlgebra
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I just registered for NeurIPS 2021! neurips.cc Really psyched about the Data Centric AI workshop! datacentricai.org/ #MachineLearning
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BREAKING NEWS: The Women's March announces that it will hold a massive nationwide protest in ALL 50 STATES on October 2nd to oppose Texas’ extremist anti-abortion law. RT TO RAISE AWARENESS AND SHOW THEM YOUR SUPPORT!
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Black Americans die younger than White Americans at almost every age. One in five African American deaths happens earlier than if they were White. Reported with @upshotnyt. 🧵 Thread: trib.al/q10S158
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Bob Flagg 🗽 retweeted
A year ago, I began trying to understand racial disparity in mortality. Unsurprisingly, it has many causes. But I didn't know that a 100-yr-old report meant to improve the health system also severely set back Black health, w effects still lingering today: nytimes.com/2021/08/30/upsho…
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Cleanlab: a Python Package for ML and Deep Learning on Datasets with Label Errors bit.ly/2Uz2f37 #MachineLearning
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A compelling case for weak supervision: bit.ly/3xhqL7m #nlproc #ML #AI
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