Kyle M Shannon @ButFirstData
Healthcare focused Data Scientist & Entrepreneur @ https://t.co/dMhGpDTnJE | Adjunct Lecturer @ UCSD | Musings on DataSci: https://t.co/EuYxUgkl8S kmshannon.com San Diego, CA Joined June 2013-
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Today FDA and @CDCgov issued a statement regarding the Johnson & Johnson #COVID19 vaccine. We are recommending a pause in the use of this vaccine out of an abundance of caution.
Wow this is a fantastic review on ML in healthcare. Especially like the coverage on the challenges facing healthcare data, such as missing data (at random vs not), calibration, and fairness.
Wow this is a fantastic review on ML in healthcare. Especially like the coverage on the challenges facing healthcare data, such as missing data (at random vs not), calibration, and fairness. https://t.co/P4iTt6bvli
Apparently, it just works!
Sounds like a great opportunity!
My slides on "ML in the real world" for the Cogs9 course taught by @ButFirstData docs.google.com/presentation/d… Tried providing a template for many ML and frameworks for experimentation and being aware of data covariate shifts...probably too ambitious for in one talk!
This is one of the best modern deep learning lecture series I’ve seen.
Highly recommend you read @sriramk's well crafted interview with Marc Andreessen. Learned a bit and even got a few bonus chuckles out of it 😄
Anyone stepping into the @huggingface world of NLP should give this roadmap/summary a look over. Lots of great info to help get you oriented.
Anyone stepping into the @huggingface world of NLP should give this roadmap/summary a look over. Lots of great info to help get you oriented.
Finally got around to watching @lisa_shashkova's awesome pycon 2020 talk on the python runtime. youtu.be/yr6E7FwK_Hw DataSci's already have so many topics to learn, but I think getting some grasp on the internals of your tools is always a great idea!
🎉 A huge update to Papers with Code: now with 2500+ leaderboards and 20,000+ results. Plus, results now link directly to tables in arXiv! Read more in our blog post below and feel free to submit results from your own papers! medium.com/paperswithcode…
Great resource from @NIH for up-to-date research/papers on covid-19! ncbi.nlm.nih.gov/research/coron…
Had a great time yesterday at the 2nd annual @DataSciUCSD Symposium. Reflecting back on the past two years, an amazing amount of progress has been made. Keep up the great work!
Came across an approachable intro to machine learning by @vas3kcom. Awesome job! vas3k.com/blog/machine_l…
For the occasional breath of fresh air in your inbox - Normcore Tech vicki.substack.com/?utm_medium=we… @vboykis
White House releases ‘first of its kind’ set of binding AI principles for agency regulators | Federal News Network federalnewsnetwork.com/artificial-int… via @FederalNewsNet
If you're interested in learning both classic and modern NLP techniques in a code first way, there's a study group for fast.ai's NLP course (taught by @math_rachel), organized through @twimlai, starting in 10 days. forums.fast.ai/t/remote-nlp-s…
Nice of @kaggle to organize winner solutions.
Facebook Research put out a great paper about the current state of ML inference at the edge e.g. mobile devices. Provides a clear outline of the current challenges and possible workflows to adopt. google.com/url?q=https://…
Excited to embark on my Fall 2019 US Speaking Tour next week! Planned stops include NYC, Boston, Miami, Dallas, SF, Seattle & more. My updated talk is a fast-moving visual feast followed by Q&A. If your org hosts engaging guest speakers, see attached flyer to book me! #creativeAI
The next scikit-learn release candidate is out! It includes a fast gradient boosting implementation that is as fast as xgboost and lightgbm. Give it try and let us know what you think!
The next scikit-learn release candidate is out! It includes a fast gradient boosting implementation that is as fast as xgboost and lightgbm. Give it try and let us know what you think!

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liv29 @liv29
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