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Jeremy Howard
@jeremyphoward
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30. sij |
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Did you know that Breiman published both the bagging and random forest papers *after* he retired?!?
(This is from our forthcoming book: amazon.com/Deep-Learning-…) pic.twitter.com/07oAjxJgV3
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Patrick S. Forscher
@psforscher
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29. sij |
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Since I first read it, I've never stopped thinking about "The Natural Selection of Bad Science" royalsocietypublishing.org/doi/full/10.10…
The paper demonstrates better than any other how science reform is more about restructuring incentives than winning logical arguments
@psmaldino @rlmcelreath pic.twitter.com/qvaU6mNx9g
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🇲🇽 Dr. Leonardo Collado-Torres
@fellgernon
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29. sij |
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Bioconductor @Bioconductor #rstats community members @KevinRUE67 @CSoneson @FedeBioinfo Aaron Lun get a shoutout due to their award winning #shiny app #iSEE at #rstudioconf 🙌🏽🙌🏽🙌🏽🙌🏽
It builds upon #shiny and also #SummarizedExperiment, both packages I ❤️ ^^
#fixedTheTypos pic.twitter.com/aoO6tnrsrZ
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Chelsea Parlett-Pelleriti
@ChelseaParlett
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29. sij |
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This is the way. ✨🐢 pic.twitter.com/B13hum54sO
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Bharath Ramsundar
@rbhar90
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29. sij |
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Are there any good papers or research on computational vaccine design? The coronavirus virus has me thinking.
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Quoc Le
@quocleix
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28. sij |
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New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways:
1. "Perplexity is all a chatbot needs" ;)
2. We're getting closer to a high-quality chatbot that can chat about anything
Paper: arxiv.org/abs/2001.09977
Blog: ai.googleblog.com/2020/01/toward… pic.twitter.com/5SOBa58qx3
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Explosion 💥
@explosion_ai
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28. sij |
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Thinc v8 will also be powering the upcoming @spacy_io v3 and make it easy to integrate your own custom models. We're especially excited about the config system and static type checking features.
👉 Config: thinc.ai/docs/usage-con…
👉 Types: thinc.ai/docs/usage-typ…
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Explosion 💥
@explosion_ai
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28. sij |
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Introducing the new Thinc, a refreshing functional take on deep learning!
🔮 Static type checking
🔥 Mix @PyTorch, @TensorFlow & @ApacheMXNet
⛓️ Integrated config system
🧮 Extensible backends incl. JAX (experimental)
🧬 Variable-length sequences & more
thinc.ai
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Microsoft Research
@MSFTResearch
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28. sij |
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Microsoft researchers & collaborators created an open-source library to explore “what-if” scenarios for machine learning models. Learn how their method generates multiple diverse counterfactuals at once and gives insight into ML algorithm decision making: aka.ms/AA75k8p
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Andrew Trask
@iamtrask
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24. sij |
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#TransferLearning is one of the most important #AI techniques
I don't often recommend PhD Thesis' - @seb_ruder's is exceptional.
He's a brilliant writer!
Check out this taxonomy / table of contents!!! 👇👇👇
#100DaysOfMLCode #100DaysOfCode
ruder.io/thesis/neural_… pic.twitter.com/ZSbZSwD9DT
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Umberto Picchini
@uPicchini
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24. sij |
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A non-standard review of MCMC methods by Christian Robert and Wu Changye. "Non-standard" in that is augmented with questions found on Cross-validated arxiv.org/abs/2001.06249 pic.twitter.com/2n7Wj8CAyp
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Dmytro Mishkin
@ducha_aiki
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23. sij |
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Jeff Dean
@JeffDean
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23. sij |
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Google Dataset Search is now officially out of beta.
"Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is."
Nice work, Natasha Noy and everyone else involved!
blog.google/products/searc…
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Fermat's Library
@fermatslibrary
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23. sij |
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When John Bardeen won the 1956 Nobel Prize in Physics, the Swedish king criticized him for not bringing his kids to the ceremony. He promised he would bring them the next time he won - and in 1972, he did when he became the first person to win 2 prizes in the same field. pic.twitter.com/WgBFEPkwZm
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Goku Mohandas
@GokuMohandas
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23. sij |
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🚀 practicalAI platform launched! - practicalai.me
A free tool to 🔍 discover & 📁 organize the top community-curated ML content. I’ll highlight a few of the major features here but be sure to check out the tutorial - practicalai.me/tutorial/ pic.twitter.com/gUOZ10Mrdj
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Steven Strogatz
@stevenstrogatz
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22. sij |
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The first episode of “The Joy of x” has dropped! Astrophysicist Priya Natarajan @SheerPriya shares her lifelong fascinations with maps, black holes, modern art, and the Commodore 64 personal computer. What a great scientist and storyteller she is! podcasts.apple.com/us/podcast/the…
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roadrunner01
@ak92501
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23. sij |
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ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
pdf: arxiv.org/pdf/2001.07966…
abs: arxiv.org/abs/2001.07966 pic.twitter.com/KClsXgvVNy
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Sebastian Raschka
@rasbt
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23. sij |
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Following the tradition, I am going to share all the course material for "STAT 453: Introduction to Deep Learning and Generative Models" I am teaching this semester :) github.com/rasbt/stat453-…
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Jozef Hajnala
@jozefhajnala
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22. sij |
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💡Quick R tip: The {goodpractice} package can examine your #rstats code for improvements with up to 230 checks, including:
🔹R CMD check
🔹test coverage
🔹cyclomatic complexity
🔹code style
🔹imports and exports and more
📦cran.r-project.org/package=goodpr… pic.twitter.com/tkjKzxHKAg
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Dana Ludwig
@danaludwig
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22. sij |
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If anyone thinks publishers have lost their way, read this. It was a scam from the beginning theguardian.com/science/2017/j…
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