Finished ML + DL — what should I do next? [D]

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AI 摘要

一位用户已经完成了机器学习和深度学习的学习，包括其背后的数学原理，目前正在寻求一个现实的路线图。他们的长期目标是达到NeurIPS、ICML和ICLR等顶级会议的研究水平。他们正在寻求关于下一步该怎么做才能在这些顶级的机器学习会议上发表论文的指导。

I’ve recently completed learning Machine Learning and Deep Learning, including the mathematics behind the major concepts and algorithms rather than just learning to use libraries.

My long-term goal is to eventually become capable of doing research at the level of NeurIPS, ICML, and ICLR. I’m not expecting to jump directly to those conferences, that’s simply the end goal.

So I’d like advice on the following things:

- What projects should I build next?

- What should I learn next?

- How should I start doing research?

- What is a realistic roadmap toward publishing at top ML conferences?

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