Matthew Martz @backpropagating

PhD - HEAD OF DATA SCIENCE/ML/AI AND TECHNICAL LEAD / STRATEGIC VISION @ AgBiome - Machine Learning | Data Science | Biomedical Research mutaku.io North Carolina, USA Joined March 2011

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Matthew Martz @backpropagating

3 years ago

Enter to Win Ruby Roubaix Gravel Fondo Event Packages #giveaway #win #gravel rubyroubaix.com/contest kingsumo.com/g/qmi3hf/enter…

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Matthew Martz @backpropagating

3 years ago

Goes for a lot of things in life.

Fine Woodworking @fwmagazine

3 years ago

Goes for a lot of things in life.

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Julien Chaumond @julien_c

3 years ago

is it me or has ML Twitter been way way quieter recently?

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👩‍💻 Paige Bailey @DynamicWebPaige

3 years ago

✨📔"We obtained 1.97M @github repos with 9.06M @ProjectJupyter notebooks, 7.24M of which were unique. 69.5% of the 221M cells (~27B tokens) were code cells, while the remaining 30.5% were markdown cells." Look at these lovely t-SNE notebook clusters: 📄arxiv.org/abs/2201.12901

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Pablo Galindo Salgado @pyblogsal

3 years ago

We are adding a new cool decorator in the Memray pytest plugin that will make your test fail if it leaks memory 🤖 Is like valgrind but a LOT of times faster 🚀and it doesn't get confused by the Python interpreter specialised allocator. And configure it is just one line! 🙀

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Ben Hamner @benhamner

3 years ago

Python dependency management

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Matthew Martz @backpropagating

3 years ago

🤯🤯🤯🤯🤯🤯

Sebastian Raschka @rasbt

3 years ago

🤯🤯🤯🤯🤯🤯

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Christoph Molnar 🦋 christophmolnar.bsky.social @ChristophMolnar

3 years ago

Super excited to release my new book Modeling Mindsets tomorrow 🥳 This is my first book since I decided to become a full-time writer. And it's the book I wish I had read a few years ago to save myself a lot of time. 1/n

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PyCon US @pycon

3 years ago

Big news!! PyCon US is celebrating 20 years, come join us for the celebration. The #PyConUS 2023 website is live and Call for Proposals are now open! Sponsorship details for PyCon US are also available. Read all the details here: bit.ly/3VB7U3M

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Andreas Mueller @amuellerml

3 years ago

Pandas DataFrame output is now available for all sklearn transformers (in dev)! scikit-learn.org/dev/auto_examp… This will make running pipelines on dataframes soo much easier, and provides better ways to track feature names! thanks to @thomasjpfan @glemaitre58 and Christian Lorentzen!

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Bojan Tunguz @tunguz

3 years ago

Announcement: deepmind.com/blog/discoveri… Nature paper: nature.com/articles/s4158… GitHub repo: github.com/deepmind/alpha… #DeepLearning #MachineLearning #ArtificialIntelligence #Mathematics #Research #ML #DL #AI 4/4

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Zen Moments @Zen_Moments

3 years ago

It always seems impossible until it's done. ~ Nelson Mandela

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Matthew Martz @backpropagating

3 years ago

❤️❤️

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vicki @vboykis

3 years ago

The more a textbook cover looks like it’s been generated by an unhinged AI model that has completely misunderstood your prompt of “friendly fun fractal pattern” the harder the math inside is gonna be.

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Chelsea Parlett @ChelseaParlett

3 years ago

Backprop

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UCI @UCI_cycling

3 years ago

An attack for the history books 🌈 Just look how @AvVleuten powered away #Wollongong2022

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vicki @vboykis

3 years ago

I don’t know how else to describe it other than moving quickly from one small fire to the next by order of priority. A lot of stuff both professional and family wise falls through the cracks.

Jason Jacobs @jjacobs22

3 years ago

I don’t know how else to describe it other than moving quickly from one small fire to the next by order of priority. A lot of stuff both professional and family wise falls through the cracks.

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vicki @vboykis

3 years ago

Learn the classics and you'll never feel like you're not keeping up because it all builds on itself (matrix math, feature generation/extraction, supervised/unsupervised/performant computing etc.). Going deep on the details of a specific algo will never not serve you well, imho.

Christoph Molnar 🦋 christophmolnar.bsky.social @ChristophMolnar

3 years ago

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Peter Wang 🦋 @pwang

3 years ago

Move code to data. That is the way. Increase the context-richness of the code, and you increase insight. Increase the domain expertise of the human writing the code, and you increase business ability.