Am Neumarkt 😱

Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers A paper on the different components of data related work. They also proposed a framework and a team structure for data workers.

#ML Machine Learning, Kolmogorov Complexity, and Squishy Bunnies http://www.theorangeduck.com/page/machine-learning-kolmogorov-complexity-squishy-bunnies

Right...

What? This is my most used non communication app....

https://lwn.net/Articles/845480/ Interesting. This is accepted.

#ML [D] Convolution Neural Network Visualization - Made with Unity 3D and lots of Code / source - stefsietz (IG) https://www.reddit.com/r/MachineLearning/comments/leq2kf/d_convolution_neural_network_visualization_made/?utm_medium=android_app&utm_source=share

#research hmmm https://www.nature.com/articles/d41586-021-00341-3

#research ConnectedPapers is now integrated into arXiv. This new perspective of references is often overlooked. It is not a gimmick at all.

#ML “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI TL;DR: - Data quality is crucial in any AI especially for those with high-stakes. - Many data work are overlooked easily: politics (some data entries are not recorded or misrecorded), human in the loop of data quality interventions for cleaning and wrangling but upstream data creation shall be controlled well too, etc - Data Cascades: how the issues are cascading from upstream to downstream should be clear. > Data Cascades: compounding events causing negative, downstream effects from data issues, resulting in technical debt over time. https://research.google/pubs/pub49953/

#ML Visualizing Weights https://distill.pub/2020/circuits/visualizing-weights

#fun hahaha

#ML https://www.nature.com/articles/s41593-019-0520-2?fbclid=IwAR1-L-MZRAuHO1YTFhAu5_zETTjgkHpEg5-HgGywEGpITbYQpU2Yld5IzrU By computational neuroscientist