Ebrahim MousaviMastering Linear Algebra: Part 8 — Singular Value Decomposition (SVD)Decompositions based on eigenvalues and related concepts (Part 2)22h ago22h ago
Elo HossWhat’s the geometric interpretation of the dot product of two vectors?In this post, I want to explain the dot product, an essential concept in machine learning. We’ll explore it together as if we’re having a…1d ago1d ago
Xinyu Chen (陈新宇)Intuitive Understanding of Circular ConvolutionDrawing Connections with Convolution Matrix, Circulant Matrix, and Linear Transformation1d ago1d ago
Ebrahim MousaviMastering Linear Algebra: Part 7 — Eigen DecompositionDecompositions based on eigenvalues and related concepts (Part 1)1d ago1d ago
AdhityanIntroduction to Linear Algebra“Mathematics is the art of reducing any problem to linear algebra.”— William Stein1d ago1d ago
Aadil MallickLearn to Build a Neural Network From Scratch — Yes, Really.In this massive one hour tutorial, we’re going to build a neural network from scratch and understand all the math along the way.2d ago2d ago
Sabrine BendimeradinCode Like A GirlUnleash Linear Algebra’s Full Power for Data Science Success NowThe linear algebra you need to know for better data analysis.3d ago13d ago1
Shilpa ThotaBasic Linear Algebra — System of EquationsThe system of equations is one basic concept for understanding or solving some real world problems. Let us see how we can do that3d ago3d ago
Matheus Araujo SouzaThe Relationship Between Hydrodynamics and Solutions to Linear Systems for Understanding the…Theorem Statement: For a matrix A with n columns, the Rank-Nullity Theorem asserts: rank(A)+nullity(A)=n where:4d ago4d ago
