141 karma · joined December 22, 2018
At the very least, if you're going to go for primary sources, find a guide or lecture to lead you through it. Of course primary sources are important to read in philosophy, but in my personal opinion, I would recommend going for an introductory text first and picking primary sources to read from there.
Particularly, the "sam build --use-container" command might be useful for simulating the Lambda environment
https://docs.aws.amazon.com/serverless-application-model/lat...
Obviously we can't predict every error by thinking hard, but datasets will never serve as a full representation of what models might experience in the real world. Continuous deployment to an ML model could affect undefined behavior in unpredictable ways.
You can't learn everything though. You absolutely should contemplate whether something is worth learning before embarking on that process -- otherwise you fill your head with useless new things.
Nobody is saying that I need to learn COBOL to stay relevant in the job market today, even if that would be a new language for me.
If you are saying that you need to practice and find methods that work for you after being taught by Messi, you could apply the same concept to thinking. Sports, like most other things, consist of both a theoretical and practical aspect. Getting Messi to teach you the theoretical side of the sport should not be seen as a replacement for practicing the sport itself, and the same can be said for thinking.