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Name: Aaron Yankey

Type: User

Location: Ghana

Aaron Yankey's Projects

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

course-machine-learning

Machine Learning algorithms in Octave/Matlab

dbntoolbox

deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine learning

The project is an application that allows the user to track their favorite things. The necessary data to track is: Title: Required field. A short, descriptive name of a favorite thing. Description: Optional field. A long description of a favorite thing. Can be empty, but if it has any text then then minimum length is 10 characters. Ranking: Required numeric field. A numbered priority according to the user (1...n). Ranking numbers should not repeat for the given category, so if a ranking is set on a new favorite thing as "1", then all other favorite things for that category should be reordered. Metadata: Optional field. A key/value store where valid data types include text, number, date, and enum types. Users can enter 0 or more keys with values attached. Category: Required data per favorite thing. Selectable between person, place, or food, but users must be able add more categories. Created Date: Required automatic field. Not entered by user but visible to them. Modified Date: Required automatic field. Not entered by user but visible to them. Audit Log: Automatically generated on data. All changes to data must be logged. Not entered by user but visible to them.