Nobody is building real technology with either of those algorithms. Sure, they are theoretically helpful, but they arent valuable anymore. Spending your precious life learning them is a waste
So you really did not learn them.
There is nothing wrong with being user. You don't have to know how compilers work to use compiler. But then you should not say you understand compilers.
In the same way, you probably would benefit from a book "Using deep learning", not "Understanding deep learning".
Exactly my point. You are so into user perspective that you think you are arguing against me.
Nobody deploys a textbook algorithm because everyone knows textbooks algorithms and there are no advantages. So, no, there is real value in learning the fundamentals, dear founder.
To attempt answering this question, we can look at LLMs as an analogy. If you include code in the training set for an LLM, it also makes the LLM better at non-coding tasks, suggesting that sometimes learning something makes you also better at other things. I'm not saying the same necessarily applies for learning these "old school" AI techniques, but it's a decently analogy at least.
It's almost like arguing that everything you learned as a Java developer is completely useless when a new programming language replaces it.