You can find me on Linkedin, feel free to connect (endorsements are welcome).

I maintain a python library called cluster-experiments, it allows to do power analysis on non-trivial experiments.

Some of my relevant answers:

• Saddle points in deep learning.
• Embedding layers are linear layers and embeddings backpropagation is easy.
• Root finding in logistic regression.
• Choosing a learning rate.

Some (so far, and in my opinion) unanswered questions:

• Multi-country or single model?
• Time series grouped cross-validation
• Machine learning model monitoring
• Why does frequency encoding work?
• Similar metrics on different populations models