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
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
I just presented at FOSS Asia (free open source software) conference.I talked about face morphing and averaging using Python. Slides: http://alyssaq.github.io/face_morpher_slidesCode: http://github.co
“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
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
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
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
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
ScenarioI have an analysis service that is invoked by posting data via its API.Since the processing could be long-running, it is best to return a response to the caller and continue with the data. G
GoalTo deploy a Python web app with various mathematical, scientific, text-processing packages to a cloud hosting platform-as-a-service. My required 3rd-party Python packages/modules: Numpy (fundamen