@docmilanfar For me first understanding SSM (the model) and then Bayesian view on filtering and seeing Kalman filter an โalgoโ for LGSSM (model) was useful. I explain it here - https://t.co/GxQOer4D39
@BecomingDataSci A series of YouTube tutorials on Bayesian regression & inference. So far 9 videos and many more to come. https://t.co/MIZhV29juR . An attempt to cover both the intuition and underlying mathematics. ๐
Published a video explaining "MADE: Masked Autoencoder for Distribution Estimation" https://t.co/AR4wX6pSAX MADE is an essential component in many modern Normalizing Flows algorithms
@jeremyphoward The complexity/Simplicity of a language is a function of how it is taught and the domain for which it is designed! E.g. Your fastai effort makes the complex subject of ML relatively simpler. So what is the problem - language or the teachers :)
@willkurt IMHO reason great libraries got written in python are because of domain expertise & not because language is superior. Refactoring/updates/performance/lack of tests are real issues in any industrial code & python makes my heart stop because of lack of strong typing and tools.
@smdiehl@willkurt If you take inspiration from JavaScript community then it can be done. Many JavaScript libraries did manage to have type definitions. It is about the community effort... seems most of the python developers still do not appreciate the importance of type annotations.
If you are hearing about #covid19 โreinfectionsโ in Asia, I can offer you my take as a virologist. The best explanation for what weโre seeing is likely due to three things...
@ozataman@rlmcelreath@fehiepsi @junpenglao Yes there is one for pyro (1st Ed) and numpyro (2nd Ed) by @fehiepsi ..see the links to all the ports here - https://t.co/hOSjobUyC2