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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 importa
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! submitted by /u/CriticalJackfruit404 [link] [comments]
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Source: r/MachineLearning | 2026-08-14