Finished ML + DL — what should I do next? [D] | SpinGraph: Mission-first framing
SpinGraph analysis of Reddit r/MachineLearning's Finished ML + DL — what should I do next? [D] story: mission-first framing, The Halo, Spin Score 35%, low AI r…
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Finished ML + DL — what should I do next? [D]
research roadmap, NeurIPS, ICML, self-directed learning, ML career
User completed rigorous ML/DL study with mathematical foundations, not just library usage. Long-term goal is publishing at elite ML research conferences (NeurIPS, ICML, ICLR). Asks for concrete guidance on next projects, learning priorities, research entry points, and a realistic roadmap.
Emphasizes aspirational alignment with elite research institutions while minimizing structural barriers (access, mentorship, credentialing, compute equity) and overemphasizing individual agency.
The disciplined autodidact on a principled path toward advancing collective AI understanding.
A learner completed ML/DL with math foundations and seeks advice on entering top-tier AI research.
No mention of institutional affiliation, access to datasets/compute, prior publication or collaboration experience, or demographic or geographic constraints.
It combines aspirational conference naming (NeurIPS/ICML) with emphasis on mathematical rigor to borrow credibility from elite venues and academic norms; this makes the learner’s trajectory feel more advanced and validated than the evidence supports, creating tension between stated competence and absence of demonstrable output or peer recognition.
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.