What are the proper steps of completing the study of Machine Learning?

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I know supervised Machine Learning (high-level) and can even make models and algorithms from scratch, Train Neural Networks and LLM in pytorch and TensorFlow both…

Good, but what’s next?
Should I learn Deployment, or increase my knowledge of Unsupervised Machine Learning?

Any Professional advice?

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Perhaps working in real life machine learning projects or even solving problems in gaggle might extend your skills further.

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Yes, all of those things are valuable.

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