ML PhD student seeks math resources for research foundations

By PulseAugur Editorial · [1 sources] · 2026-07-02 16:24

A PhD student in machine learning is seeking recommendations for resources to strengthen their mathematical foundations, particularly in linear algebra, probability theory, and functional analysis. The student is considering "Linear Algebra Done Right" for linear algebra and has found "A Primer on RKHS" helpful for functional analysis, though they find Rudin's books challenging. They are also looking into "The Bright Side of Mathematics" YouTube channel and plan to revisit the PRML book and Pat Kidger's "Just Know Stuff" list. AI

IMPACT Individuals seeking to deepen their understanding of core mathematical concepts relevant to AI research.

RANK_REASON User-generated content seeking advice on foundational knowledge for a field.

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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Newsworthiness bucket: Commentary; User-generated content seeking advice on foundational knowledge for a field.
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r/MachineLearning TIER_1 English(EN) · /u/mvreich · 2026-07-02 16:24

Books/Resources to improve mathematical foundations for ML research [D]

<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 "learning-things-as-I-go" when working on various problems. I l…