A machine learning $($ML$)$ application identifies if an email is spam. What is the underlying concept of how a solution like this can be developed?

a backend server processes all emails and bucket$-$like content

serverless functions check for keywords found in spam emails

complex algorithms understand sentiment from the email subject text

a large dataset of spam and non$-$spam emails train a model

I don't know this yet.