Bob Flagg 🗽
@calcworks
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Mathematician masquerading as a data scientist
Portland, ME
Joined March 2011
RT @AnnaFlagg: Find out more about our original analysis of over 12,000 of Trump's statements on immigration, including the effects of repe….
themarshallproject.org
Trump repeats false and misleading claims on immigration, an analysis of 12,000 statements shows.
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RT @AnnaFlagg: Research shows the more times you hear a statement, the more likely you are to believe it. We analyzed >12,000 of Trump’s i….
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So excited to join Systematically Improving RAG Applications's course. Looking for a few friends to join me!
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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 which is catching on quickly with the AI folks.
sigmoid.social
11 Posts, 382 Following, 68 Followers · I'm a mathematician working on natural language processing at Finch Computing. My principal interest is applying mathematics to understand machine learning,...
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RT @WV_Rising: 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 a….
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RT @MarshallProj: We're grateful to be among those receiving this honor from @mujschool, recognizing our newsroom's work in criminal justic….
journalism.missouri.edu
By Austin Fitzgerald Columbia, Mo. (July 14, 2022) — The Missouri School of Journalism has announced the 2022 recipients of the Missouri Honor Medal for Distinguished Service…
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RT @MarshallProj: THREAD: Our new analysis reveals 1 in 3 people held in a U.S. Border Patrol facility since 2017 was a minor — 650,000 you….
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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:. 👉 Notebooks will train up to 3x faster out of the box!🎉
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RT @hardmaru: The Principles of Deep Learning Theory. Relatively accessible and self-contained textbook (concepts explained from first prin….
arxiv.org
This book develops an effective theory approach to understanding deep neural networks of practical relevance. Beginning from a first-principles component-level picture of networks, we explain how...
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RT @WilliamWangNLP: UCLA Computer Science Professor Amit Sahai explains the same concept, Zero-Knowledge Proof, to a child, a teenager, a c….
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RT @ewarren: In 2006, the U.S. Senate unanimously reauthorized the Voting Rights Act. But today, only one GOP senator supports it. And none….
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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! Really psyched about the Data Centric AI workshop! #MachineLearning.
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RT @OccupyDemocrats: BREAKING NEWS: The Women's March announces that it will hold a massive nationwide protest in ALL 50 STATES on October….
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RT @MarshallProj: Black Americans die younger than White Americans at almost every age. One in five African American deaths happens earlier….
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RT @gp_pulipaka: The #Mathematics of Machine Learning. #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Ja….
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RT @AnnaFlagg: A year ago, I began trying to understand racial disparity in mortality. Unsurprisingly, it has many causes. But I didn't kno….
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Cleanlab: a Python Package for ML and Deep Learning on Datasets with Label Errors #MachineLearning.
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RT @Datascience__: How Transformers work in deep learning and NLP: an intuitive introduction #DeepLearning.
theaisummer.com
An intuitive understanding on Transformers and how they are used in Machine Translation. After analyzing all subcomponents one by one such as self-attention and positional encodings , we explain the...
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