A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

any generation of Standard Model fermions transforms as the direct sum of six irreducible representations: These correspond to the six types of left-handed fermion: q L, d R, u R, ℓ L, e R, ν R. Six ...

This course aims to develop your knowledge in the mathematics topics of linear algebra and calculus, which provides the basic mathematics foundation that is necessary for anyone pursuing a computing ...

Chemistry, mathematics and physics are central to our understanding of nature. Physics explores the fundamental laws of mechanics, electromagnetism, quantum mechanics and relativity. Chemistry studies ...

This course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, ...

OxiBLAS is a production-grade, pure Rust implementation of BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). Designed as the foundational linear algebra library for the ...

This post continues the series from the Adjoint School of Applied Category Theory 2022. It is a summary of the main ideas introduced in this paper: Filippo Bonchi, Dusko Pavlovic and Pawel Sobocinski, ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...