In r/learnmachinelearning, a high-upvote thread pushes beginners toward scikit-learn fundamentals before deep learning, framing most real-world work as classic ML plus data cleaning rather than jumping straight to pytorch.
Unpopular opinion for beginners: Stop starting with Deep Learning.
Open Scikit-Learn.
I started with messing around with reinforcement learning (Using Unity) and neural networks (Pytorch/Unity), it was fun but for neural networks I was stuck in tutorial hell
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