Are supervised and unsupervised learning still relevant today? [D]

Hey everyone,

I'm trying to get a better sense of where classic ML fits in the current landscape, dominated by LLMs and deep learning. Are supervised and unsupervised learning still considered important skills/topics to learn in 2026, or have they become mostly a "foundations" step before moving to more advanced techniques?

Also, if you have any book recommendations for Python that cover these topics well, I'd really appreciate it.

Thanks in advance!