Reddit user seeks math book recommendations for ML/DL

By PulseAugur Editorial · [1 sources] · 2026-08-17 22:36

A Reddit user is seeking recommendations for mathematics textbooks to deepen their understanding of statistics, machine learning, and deep learning. They are an engineering student with a background in calculus and linear algebra, familiar with basic ML concepts, and prioritize clear derivations and practical applications within models over extensive problem sets. The user has compiled a shortlist including "All of Statistics" by Wasserman, "Foundations of Machine Learning" by Mohri et al., "Mathematics for Machine Learning" by Deisenroth et al., "The Elements of Statistical Learning" by Hastie et al., and "Deep Learning" by Goodfellow et al., and is asking for community feedback and alternative suggestions. AI

RANK_REASON User is asking for recommendations on educational materials, not reporting on a new development.

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

How we ranked this

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; User is asking for recommendations on educational materials, not reporting on a new development.
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: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: 53 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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r/MachineLearning TIER_1 English(EN) · /u/Commercial-Kale-5271 · 2026-08-17 22:36

trying to build a solid math library for stats/ML/DL, need a sanity check on my picks[D]

<div class="md"><p>engineering student here, decent calc and linear algebra background from continuum mechanics coursework, already comfortable with ML basics through transformers and modern architectures. want to go deep on the actual math now, not just intuition …