@HansdeClercq Dit is echt een heel goed boek! Tweede en derde van deze reeks zijn ook aan te raden! Net Shards of Earth uitgelezen (ook van hem). Space Opera op en top!
In this new article published on Internet Policy Review (@PolicyR) I explore with a blend of computational and qualitative methods how news media cover risks of big data and AI and how that links to critical data literacy: https://t.co/ptG6uqCmiz #criticaldatastudies
Waited too long, but @scriptkitapp is awesome 💯 I did some tweaks to my @alfredapp workflows, but I now have way more flexibility as a developer to tweak the input.
ScriptKit is not yet providing the tools I liked to use, but I could replicate all my workflows & make it more flexible.
@johnlindquist thanks and keep up the good work 💪.
- get my IP internal/external addresses
- go to specific folders I use often with an `arg` list
- toggle WiFi / Bluetooth through Apple Shortcuts
- create a new file
- find the full path for selected file in Finder
- get color hex
and hoping to add my local backup flow with the schedule feature. 🙏
Our next meetup will be on 19 April! We are looking forward to hear @lakens to speak about #bugs in #research. Because we all make mistakes, right? #RSE
Sign up: https://t.co/MZ7YtJOKI9
Just 7 binary preprocessing steps for text data can yield 128 possible models to analyze!!!!. The paper "Text Preprocessing For Unsupervised Learning" provides guidance for selecting appropriate steps and avoiding misleading results. https://t.co/DWOGGGwnmu
Just watched an amazing keynote by Alan Liu about humans in the loop and machine learning. Alan shared examples of how machines can learn from humans, and vice versa. An inspiring talk for anyone interested in the intersection of ML and the humanities! https://t.co/dgyu97E6Tv
Just read "The Hero’s Journey in Higher Education" paper proposing a narrative approach to designing student-centered modules. I'm curious how this could be applied to data science education https://t.co/ESEGY82tYB #highered#datascience#herosjourney
What's one recent Human-AI Interaction Design paper you found most inspiring?
I'm updating the reading list for my <Human-AI Interaction Design> course. Too many great reads to fit into a syllabus!
@fabulousQian Currently in the same process:
Re-examining [...] Human-AI Interaction Is Uniquely Difficult to Design
https://t.co/uOmxKQcIRu
A Review of User Interface Design for Interactive Machine Learning
https://t.co/O5PDhlEEF0
Guidelines for Human-AI Interaction
https://t.co/xVLCm0khmg
Must read. A massive list of tricks to make training a language model possible on 1 consumer-level GPU and 1 day of training.
📄 Paper: https://t.co/oU0WLIhAOI
🛠️ Code: https://t.co/HHgWfCdxGa
✍️ Authors: @jonasgeiping , @tomgoldsteincs
A great read. Stop using the elbow criterion for k-means and how to choose the number of clusters instead (alternatives).
"..researchers and reviewers should reject conclusions drawn from the elbow method."
📄 Paper: https://t.co/6xx4wTmmLk