English(EN) Finished ML + DL — what should I do next? [D]

机器学习/深度学习学生寻求研究发表的路线图，目标是顶级会议

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-29 18:17

一位用户在 r/MachineLearning 子版块寻求指导，在完成了机器学习和深度学习的学习后。他们的最终目标是在 NeurIPS、ICML 和 ICLR 等顶级会议上进行研究。他们正在寻求关于构建项目、进一步学习、启动研究以及建立一个现实的路线图以在这些著名会议上发表论文的建议。 AI

影响为有抱负的研究人员提供了为机器学习领域做出贡献的路线图。

排序理由用户正在寻求关于机器学习研究职业道路的建议，而不是报告新的发展。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户正在寻求关于机器学习研究职业道路的建议，而不是报告新的发展。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

r/MachineLearning TIER_1 English(EN) · /u/ANUBHAW7410 · 2026-08-29 18:17

机器学习+深度学习已完成 — 接下来该做什么？[D]

<div class="md"><p>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.</p> <p>My long-term goal is to eventually become capable of doing …