Learn the most important tools in the repertoire of a data scientist and machine learning practitioner – Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) – with the help of Krishnendu Chaudhury.
From Math for Programmers by Paul Orland
This article covers
● Modeling algebraic expressions as data structures in Python
● Writing code to analyze, transform, or evaluate an algebraic expression
● Building a data structure from elements and combinators
From Math and Architectures of Deep Learning by Krishnendu Chaudhury
From Math for Programmers by Paul Orland
