Tag: #mathematics
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 6 posts
The Beauty of Mathematics — Infinity, Primes, and the Language of the Universe
An essay tracing the beauty of mathematics, from the mystery of prime numbers and Cantor's infinities to the golden ratio, Fibonacci, and Euler's identity. Along the way it meets the old question of whether mathematics i
2026-06-21 · 31 min read #culture#mathematics#prime-numbers#infinity#golden-ratioEngineering Math Series 1: Why Engineering Mathematics Matters
An introductory post explaining why engineering mathematics is the common language of engineering and development, and what topics you will learn in what order.
2026-03-19 · 5 min read #engineering-math#mathematics#modeling#problem-solving#2026-03Mathematical Foundations for AI/ML: Complete Guide - Linear Algebra, Calculus, Probability
A complete guide to mastering the core mathematics required to understand AI and machine learning. Covers linear algebra (vectors, matrices, eigenvalues), calculus (partial derivatives, chain rule), probability and stati
2026-03-17 · 21 min read #mathematics#linear-algebra#calculus#probability#statisticsEngineering Mathematics 1: Ordinary Differential Equations & Laplace Transform - Complete Guide
A complete guide to ordinary differential equations for electrical, electronic, and mechanical engineering students. Master first-order ODEs, second-order linear ODEs, systems of ODEs, Laplace transforms, and inverse tra
2026-03-17 · 19 min read #engineering-math#ode#differential-equations#laplace-transform#mathematicsEngineering Mathematics 2: Fourier Series, Fourier Transform & PDE
A complete guide to Fourier analysis and partial differential equations for electrical, electronic, and communications engineering students. Master Fourier series, Fourier transform, DFT/FFT, heat equation, wave equation
2026-03-17 · 19 min read #engineering-math#fourier-series#fourier-transform#pde#signal-processingComplete Math Guide for AI — From Linear Algebra to Information Theory
A guide to the math needed for AI/deep learning, explained with code and intuition. Linear algebra (matrices, eigenvalues), calculus (partial derivatives, backpropagation), probability/statistics (Bayes, distributions),
2026-03-02 · 13 min read #ai#mathematics#linear-algebra#calculus#probability