Simple Movie Recommender Using SVD
Given a movie title, we’ll use Singular Value Decomposition (SVD) to recommend other movies based on user ratings. Filtering and recommending based on information given by other users is known as coll
category : data science
Singular Value Decomposition (SVD) Visualisation
“The SVD is absolutely a high point of linear algebra” (Gilbert Strang, Kai Borre) This mathematical technique has been used across various industries and example applications include recommender syst
Computing the Axes or Orientation of a Blob
How do we find the major and minor axes of a blob?We look at using 2 popular methods to obtain the same result: Covariance matrix and eigenvectors, eigenvalues (partial PCA). Raw image moments 1. Co
Understanding Eigenvectors and Eigenvalues Visually
Eigenvectors and eigenvalues are used in many engineering problems and have applications in object recognition, edge detection in diffusion MRI images, moments of inertia in motor calculations, bridge
Visualising Matrices and Affine Transformations With Python
Here, we visualise matrix linear and affine transformations to set the foundation in understanding more awesome computer vision techniques (still a learning process for me). There is an assumed knowl
Understanding Hough Transform With Python
The Hough transform (Duda and Hart, 1972), which started out as a technique to detect lines in an image, has been generalised and extended to detect curves in 2D and 3D. Here, we understand how an ima