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English(EN) Books/Resources to improve mathematical foundations for ML research [D]

机器学习博士生寻求研究基础数学资源

一位机器学习博士生正在寻求资源推荐,以加强其在高等代数、概率论和泛函分析方面的数学基础。该学生正在考虑使用《Linear Algebra Done Right》来学习高等代数,并发现《A Primer on RKHS》对泛函分析有帮助,但觉得Rudin的书很有挑战性。他们还在关注“The Bright Side of Mathematics”YouTube频道,并计划重读PRML书籍和Pat Kidger的“Just Know Stuff”列表。 AI

影响 寻求加深对人工智能研究核心数学概念理解的个人。

排序理由 用户生成内容,寻求关于某一领域基础知识的建议。

在 r/MachineLearning 阅读 →

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

机器学习博士生寻求研究基础数学资源

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用户生成内容,寻求关于某一领域基础知识的建议。
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报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/mvreich ·

    为机器学习研究打下数学基础的书籍/资源 [D]

    <!-- SC_OFF --><div class="md"><p>I am a mid to late stage PhD student in ML. I've known this before, but only recently I started feeling this urgently: my mathematical foundations are shaky, because I kept &quot;learning-things-as-I-go&quot; when working on various problems. I l…