2022-03-09 MAR
Journal Club (Jeya)
Confounder-free Neural Networks.
https://www.nature.com/articles/s41467-020-19784-9
https://openaccess.thecvf.com/content/CVPR2021/html/Lu_Metadata_Normalization_CVPR_2021_paper.html
Links from discussion
https://www.bmc.com/blogs/machine-learning-tribes/
https://playground.tensorflow.org/
https://douglasduhaime.com/posts/visualizing-latent-spaces.html
I thought this is an annoyign paper, on residual structure for risk prediction, also irreproducible, so with that disclaimer https://www.nature.com/articles/s41598-021-03322-8
https://mitpress.mit.edu/books/causation-prediction-and-search-second-edition
https://github.com/cmu-phil/tetrad
https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
Hackaton
Review of Google Office hours BQ driven AI analytics
https://gitter.im/episphere/DCEG-DataScience?at=62278807c435002500e00b7a
Update on colab,