A reminder of how the number of centrifuges in Iran soared after Trump’s 2018 JCPOA withdrawal. @brendannyhan.bsky.social
Compelling visualization showing global temperature over time. It's the last bit that is compelling. Avg is about the same, but variation is increased. fb.watch/z1Axq0JLi-/?...
Tariffs = Tax = Higher Prices. I'm getting emails from ecommerce companies warning of price increases. “It is the maxim of every prudent master of a family, never to attempt to make at home what it will cost him more to make than to buy.” — Adam Smith, The Wealth of Nations #tariffs
Fundamental. There are always options for decomposability in just about any system.
Herbert Simon’s scientific “parable of the two watchmakers” illustrates how modular design enhances efficiency and resilience in complex systems. Is this principle still relevant in today’s data science practices? It feels resilient and evolutionary. #ComplexSystems #ModularDesign 
Progress on the elusive sequence-based recommendations. arxiv.org/pdf/2502.13909 #machinelearning, #MLSky, #DataScience
Quantum computing and data science... a match made in tech heaven? Sara A. Metwalli's latest article explores how these 2 fields intersect and why data scientists should care about quantum advancements.
Should Data Scientists Care About Quantum Computing? | Towards Data Science
I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top claims, like “some company has proved quantum supremacy,” “the quantum revolution…
towardsdatascience.com
Great use of AI (hope it's sustainable) #ai
How can explainable AI empower fact-checkers to tackle misinformation? 📰🤖 We interviewed fact-checkers & identified explanation needs & design implications for #NLP, #HCI, and #XAI. Excited to present this work with @iaugenstein.bsky.social & Irina Shklovski at #chi2025! arxiv.org/abs/2502.09083
Operationalizing Machine Learning: An Interview Study by @joehellerstein.bsky.social, @adityagp.bsky.social, et al. Particularly love the part on "Retrofitting Explanations". #MachineLearning #MLOps #Datascience. arxiv.org/pdf/2209.09125
🧪 🩺🖥️ #MLSky
New: The largest medical A.I. randomized controlled trial yet performed, enrolling >100,000 women undergoing mammography screening The use of AI led to 29% higher detection of cancer, no increase of false positives, and reduced workload compared with radiologists w/o AI thelancet.com/journals/lan...
Thoughtful article on the role of statistics in AI by Friedrich, et al. I didn't think there would be any question about it. Causal reasoning, uncertainty, evaluation, etc - all are crucial to AI and come from the school of statistics. link.springer.com/article/10.1... #DataScience #Statistics #AI
Is there a role for statistics in artificial intelligence? - Advances in Data Analysis and Classification
The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplin...
link.springer.com
Always an interesting conversation with @hugobowne.bsky.social. Great topics on the management of data scientists. #Datascience www.linkedin.com/posts/hugo-b...
Hugo Bowne-Anderson on LinkedIn: 🎙️ Why 90% of Data Science Projects Fail—And How to Fix It In the…
🎙️ Why 90% of Data Science Projects Fail—And How to Fix It In the latest High Signal podcast, I spoke with Eric Colson—DS/ML advisor, former Chief…
linkedin.com
The Secretary Problem. An oldie, but so relevant to many business problems (and personal ... eg. when to stop looking for a parking spot). www.jstor.org/stable/2243190 #Algorithms #DataScience
This resonates ... for 20+ years, I've embraced ANN only as as a very lose metaphor for how our human brains work. But in the last 2 years I couldn't help but notice more and more similarities.
🧪 Researchers from MIT, Harvard, and NYU found human brains and AI neural networks represent information similarly, despite distinct architectures. This suggests intelligence converges when solving shared challenges, like language or vision. 🩺💻 #MLSky
Experimentation has become much clearer and more accessible. With better defined roles, steps, and tools, companies are democratizing the process. Let the learnings flow! Great article by Sven Schmit, Ramesh Johari, David Holtz, Martin Tingley, Iavor Bojinov #Experimentation hbr.org/2025/01/want...
Want Your Company to Get Better at Experimentation?
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and...
hbr.org
So elegant!
Jupyter NB is truly indispensable. Seeing Jupyter Book's 2.0a evolution & the amazing features it sports is mind blowing. My three fav features are: MyST markdown (so, so good) Clean and beautiful PDF output New fast search capability blog.jupyterbook.org/posts/2024-1... (via @choldgraf.com)
Jupyter NB is truly indispensable. Seeing Jupyter Book's 2.0a evolution & the amazing features it sports is mind blowing. My three fav features are: MyST markdown (so, so good) Clean and beautiful PDF output New fast search capability blog.jupyterbook.org/posts/2024-1... (via @choldgraf.com)
An article I wrote on why the ideas from data scientists are so valuable and the forces that tend to suppress them. #datascience www.linkedin.com/feed/update/...
Eric Colson on LinkedIn: Beyond Skills: Unlocking the Full Potential of Data Scientists
An article I wrote on why the ideas from data scientists are so valuable and the forces that tend to suppress them. #Datascience
linkedin.com
Since everyone else is doing ... Fun trend intro'd by Kevin Weil of OpenAI: prompt ChatGPT: "based on what you know about me, draw me a picture of what you think my current life looks like." (got the econ, evolution, AI, volleyball stuff right ... but it did for like many, it hallucinated a cat)
Hello bluesky. Hopping this will provide a useful alternative to twitter/X.