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Ali Rahimi 在 NIPS 2017 的获奖演讲
Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
AI 翻译，未经编辑审核
讲什么
Ali Rahimi 批评机器学习像炼金术般有效却缺少理解，呼吁更严格的研究。
HN 网友推荐理由
HN 网友推荐理由：是深度学习实践中常被引用的尖锐批评，尤其涉及可靠性与理论理解。
摘要与推荐理由由 HackerTube 用 AI 生成，大榕 AI 翻译整理，未经编辑审核。
视频数据来源：HackerTube（https://hackertube.org），基于 Hacker News 社区推荐整理，依 ODC-By 1.0（https://opendatacommons.org/licenses/by/1-0/）许可使用。筛选与中文整理：大榕 darong.ai。
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Title
Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
Summary
Ali Rahimi's NIPS 2017 Test-of-Time award talk, in which he argues that modern machine learning has become alchemy, working without being rigorously understood. He calls for more rigor and understanding in the field.
Why HN
HN points to it as the sharpest, most-quoted critique of deep learning practice, and cites it whenever ML reliability or understanding is debated.
Primary topic
rigor in machine learning