The day is almost here! We'll be launching our rebuilt, reimagined and reinterpreted collaborative data science platform Renku 2.0 in less than two weeks! Join the webinar to learn more: https://blog.renkulab.io/renku-2-launch/
Unlock the Secrets of AI Learning! ????Ever wondered how generative AI, the powerhouse behind stunning images and sophisticated text, truly learns? Park et al.'s groundbreaking study, ‘Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space,’ offers a revolutionary new perspective. Forget black boxes – this research unveils a "concept space" where AI learning becomes a visible journey!By casting ideas into geometric space, the authors bring to life how AI models learn step by step, stripping bare the order and timing of their knowledge. See the crucial role played by the "concept signal" in predicting what a model is first going to learn and note the fascinating "trajectory turns" revealing the sudden "aha!" moments of emergent abilities.This is not a theoretical abstraction – the framework has deep implications in the real world:Supercharge AI Training: Optimise training data to speed learning and improve efficiency.Demystify New Behaviours: Understand and even manage unforeseen strengths of state-of-the-art AI.Debug at Scale: Gain unprecedented insights into the knowledge state of a model to identify and fix faults.Future-Proof AI: This mode-agnostic feature primes the understanding of learning in other AI systems.This study is a must-read for all who care about the future of AI, from scientists and engineers to tech geeks and business executives. It's not only what AI can accomplish, but how it comes to do so.Interested in immersing yourself in the captivating universe of AI learning?Click here to read the complete article and discover the secrets of the concept space! #AI #MachineLearning #GenerativeAI #DeepLearning #Research #Innovation #ConceptSpace #EmergentCapabilities #AIDevelopment #Tech #ArtificialIntelligence #DataScience #FutureofAI #Interpretability
Nächste Woche bei „LiLi revisited: Digitale Schnittstellenforschung zwischen Literaturwissenschaft und Linguistik“:
20. Mai, 10-12: @nilsreiter (Universität Köln): More Open Science is not always the same as better science
: Hybrid! Raum X-E1-201 / Zoom: https://uni-bielefeld.zoom-x.de/j/62739019294?pwd=QJN0osQV9sazjw94iIoWjE8aWgUlNk.1
Mastering the Terminal with Bash & Unix
Learn to work with large datasets using #Bash & #Unix in this 2-day #workshop! Master #command-line tools, #scripts & #pipelines—a must-have skill for data scientists & biomedical researchers handling registry, clinical & high-throughput data.
23 & 26 June
UCPH, Panum
Register: https://heads.ku.dk/calendar/2025/courses/bash-spring-2025/
Frisch veröffentlicht:
In "Differenzierungsprozesse in der digitalen Quellen- und Datenkritik" setzen sich Fabian Cremer und Johannes Paulmann mit "historische[r] und analytische[r] Kategorienbildung am Beispiel der bayerischen Bußgeldkataloge 'Corona-Pandemie'" auseinander und reflektieren über die Anforderungen an eine digitale Quellenkritik im Umgang mit strukturierten historischen Forschungsdaten:
https://doi.org/10.17175/2025_006
#zfdg #corona #pandemie #DigitalHumanities #datascience @fbncrmr
There are currently 636,000 #python projects on #pypi
By the time you read this there will be several more, to the tune of one every few minutes
#opensource tools, algorithms, frameworks for #datascience, #machinelearning, #webdev and much, much more, in principle accessible to everybody
What does this mean, where will this lead?
Your guess as good as mine. But this is emphatically *not* the world we used to live-in, until recently
Remember this when you are gloomy
What are folks go to sources for historic and forecast North American weather data these days? 5 min/hourly by station/location.
The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: https://leanpub.com/sh/xoqk2wr0 #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics
I miss running meet-ups.
I used to co-organise a python meetup in London. I caught the bug and started my own.
I ran an algorithmic art meetup, a kids code club and a data science meetup too (pic below).
I stopped when the pandemic hit and haven't really got back into the swing again. I did try but (free, convenient and good) venues seemed to suddenly not be so available.
Are you coming to #PyConUS? Do you want to learn #Python and #DataScience? Good news! #HumbleData workshop on SSunday, 18 May 2025 10 AM - 3:15 PM is available for walk-ins - no registration required, just braing your laptop and join us! Details in comments.
Any R #developer who could help me review a script? I’m a musician/musicologist working on a university research project 
#rstats #datascience #academicresearch
Kaggle is a super-useful and popular website, but if I ever meet its creator, my first question is going to be, "Did you name it that on purpose?"
came for the trashing of transphobes, stayed for the rant about the target store redesign
Netflix is hiring a Machine Learning Manager - Promotional Media
Location: 
Remote, United States
Salary: $360000 - $920000
#DataScience #DataScientist #tech #JobSearch #GetFediHired #HashyJobs #US #Netflix
https://datasciencejobs.com/jobs/machine-learning-manager-netflix-united-states-21/
Details for the EdinbR May #meetup are now live! Register here: https://www.meetup.com/edinbr/events/307742291. See you next week :-)
Featuring @nrennie & Jordan Richards
[PAQUETE] - 
¿Querés que tu código en R sea más limpio y profesional?
Te dejamos dos paquetes que no podés dejar de revisar:
{lintr} analiza tu código y detecta errores de sintaxis o estilo según la guía tidyverse.
{styler} lo reformatea automáticamente para que siga esas buenas prácticas.
• Info:
→ https://lintr.r-lib.org
→ https://styler.r-lib.org
#RStats #DataScience #CódigoLimpio #EstiloR #lintr #styler #rtips @rstats
Mastering the Terminal with Bash & Unix
Learn to work with large datasets using #Bash & #Unix in this 2-day #workshop! Master #command-line tools, #scripts & #pipelines—a must-have skill for data scientists & biomedical researchers handling registry, clinical & high-throughput data.
23 & 26 June UCPH, Panum Register: https://heads.ku.dk/calendar/2025/courses/bash-spring-2025/
The Hundred-Page Language Models Book: hands-on with PyTorch https://leanpub.com/theLMbook by Andriy Burkov is the featured book 
on the Leanpub homepage! https://leanpub.com #ai #gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics #books #ebooks
Master language models through mathematics, illustrations, and code―and build your own from scratch!
Find it on Leanpub!
New post in Geodata Ramblings: Exploratory data analysis using Wyvern's hyperspectral imagery Open Data Program. Harmful Algal Bloom (HAB) detection is attempted using selected band wavelengths and raster analysis techniques. Part 1 of 2!
#GIS #GDAL #hyperspectral #wyvern #remotesensing #spatialanalysis #earthobservation #datascience #geospatialanalytics #opendata #rasteranalyis #geospatial
Redução de Dimensionalidade com Grafos Ajustados Localmente
LocalMAP é um novo algoritmo de redução de dimensionalidade que ajusta dinamicamente o grafo de similaridade dos dados, tornando os ‘clusters’ mais separáveis e confiáveis, especialmente em grandes conjuntos de dados, superando limitações de métodos tradicionais.
https://arxiv.org/pdf/2412.15426 
https://github.com/williamsyy/LocalMAP
