jellyksong

Our team is in a similar position right now — I’m curious how you decided on Highcharts as opposed to other options like Plotly.

Basic question: Why is this faster than running Intel Linux apps in an emulated Intel Linux VM? Because Rosetta is faster than QEMU, and you only need to emulate one application rather than the entire kernel?

I believe some algorithms, like AutoML-Zero, search on the level of mathematical operations.

In the same theme, there’s a recent documentary called “The Weight of Gold”, narrated by Michael Phelps and other Olympic champions. Really poignant stories.

> Thankfully these days Cloud Native Python apps are built around less monolithic options such as Flask, Pyramid, or Tornado.

FastAPI is also a very popular choice these days, arguably more so than Pyramid and Tornado.

Two questions:

1. I wonder how many times the test set can be used on "incremental changes in future versions of the model" before losing statistical validity.

2. This article describes their process, but not the FDA's process. Are there specific regulatory requirements for ML models beyond their four types of reports?

They show up in roots of polynomials with real coefficients.