The Palindrome

Cadence

Every two weeks

Latest

2026-10-06

By

Tivadar Danka

Based on

12 recent issues

• Covers: Mathematical concepts underlying machine learning, including graph theory, linear algebra, optimization algorithms like gradient descent, and simulations.
• For: Machine learning practitioners, data scientists, and engineers wanting deep technical math foundations.
• Best for: Technical professionals seeking visual, deep-dive explanations of math behind machine learning algorithms.
• Skip if: Non-technical business managers looking for high-level AI strategy or market trends.

Start with

• Graph Theory for Visual Learners: Explains foundational graph theory concepts visually for technical learners.
• The Single Most Undervalued Fact of Linear Algebra: Breaks down core linear algebra concepts including the relationship between matrices and graphs.
• The Math You Missed Behind Gradient Descent: Explores the fundamental optimization math behind modern machine learning and large language models.

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Summarised by AI from 12 recent issues. Audience size is not included. Prices are not included. Report a mistake.