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Joined October 2016
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Towards Data Science retweeted
My last article on spatial analysis in @TDataScience using brain cells as study case.
#r #DataScience #DataAnalytics
towardsdatascience.com/where…
Ever heard a great line in a podcast and lost it by the next episode?
Katy Hagerty shows how PodClip 2.0 saves your favorite moments straight from Spotify, and how the whole app came together on Replit.
towardsdatascience.com/podcl…
In his latest exploration of deep learning topics, @mangal_utkarsh leverages NumPy to explain how a neural network could learn to read digits from pure noise. towardsdatascience.com/a-neu…
Wouldn't it be nice to build an application that ships bug-free?
@EivindKjos Eivind Kjosbakken shows how we can use Claude Code to create and run effective E2E tests. towardsdatascience.com/how-t…
"I keep seeing AI systems fail at state updates. They cache an answer, receive data that breaks it, and still fail to update. I wanted to find out why."
@emmimalpa's new deep dive tackles a perennial challenge for practitioners. towardsdatascience.com/we-ta…
A research paper claimed reward labels barely change how agents learn — so @DattijoMuhammad tested it on three models, and one of them did exactly what the wrong labels told it to. towardsdatascience.com/i-tol…
Could a bag-of-words probabilistic ranking function from 1994 be the missing ingredient in your RAG pipeline?
Spyros Georgopoulos makes a compelling case for incorporating BM25 into your system. towardsdatascience.com/your-…
It's been a couple of years since KANs (Kolmogorov–Arnold Networks) made a major splash among deep learning practitioners. It's not too late to explore their inner workings — and Sam Everest offers a detailed visual walkthrough for anyone just wading into the topic. towardsdatascience.com/build…
Interested in Bayesian statistics, spatial analysis, and neuroscience? Don't miss Daniel Manrique Castano's insights on how to use spatstat raster layers and point process models to ask how neurons, astrocytes, and microglia sit relative to each other. towardsdatascience.com/where…
Towards Data Science retweeted
The questions at our EMNLP poster in Budapest turned into a new article 😄 When a vision model gets an image task wrong, the fix is often the image and not the prompt. Wrote it up for @TDataScience
towardsdatascience.com/fix-t…
If you're inserting AI tools into discrete tasks without a holistic vision of their role in your business processes, you're probably doing it wrong. Weiwei Hu explains what you should aim for instead.
towardsdatascience.com/how-t…
Samir Saci's warehouse bot takes two photos as its only input: the damaged pallet, then its barcode. An n8n workflow reads both and emails the quality team a complete damage report.
towardsdatascience.com/shipa…
Sarah Schürch built a Mastodon bot in three Python scripts: register the app, publish a post, reshare by hashtag.
towardsdatascience.com/shipa…
Developers felt 20% faster with AI coding assistants. In one study, they were actually 19% slower. Gursimar Singh unpacks some inconvenient truths behind the widespread use of AI-generated code. towardsdatascience.com/devel…
Curiosity, creation, reflection, and more: @rpdesai24 introduces her "Human Relevance Framework" for practitioners who want to keep their edge in the age of AI.
towardsdatascience.com/in-th…
"In this brave new world where it only takes a few hours for a model to improve itself, this latest advancement in AI capabilities is just one more reason why it’s time to introduce a new discipline: runtime alignment monitoring."
Gadi Singer explains why a separation-of-powers approach will help us control autonomous agents. towardsdatascience.com/who-w…
What should you pay attention to when working with browser agents? What are some of their most common failure modes and pain points? @DattijoMuhammad unpacks an increasingly relevant topic for many practitioners. towardsdatascience.com/i-bro…
Meet the speakers of the Agentic AI Conference!
26 leaders building and deploying AI agents today will be taking the virtual stage Nov 9–10 for keynotes, panels, and hands-on tutorials. They’ll take on the questions that decide whether AI agents make it out of pilot.
Check out the full speaker lineup:
datasciencedojo.com/agentic-…
OpenAI's new Decisions API promises fast, typed answers for routing messages, checking documents, and even inspecting images. Thomas Reid tests it with three Python examples and asks whether it can really challenge JEV.
towardsdatascience.com/a-pra…
Basic ReAct loops only take you so far. Partha Sarkar breaks down six production oriented architectures for building agents that are autonomous, reliable, and ready to scale.
towardsdatascience.com/agent…
