Singular Value Decomposition and Machine Learning

For this project, I used Singular Value Decomposition (SVD) to analyze two collections of facial images, and to prepare audio data for machine learning algorithms to identify music genres and artists.

The full paper describing this project is here.

For the first part, I analyzed two sets of faces from the Yale Face Database.  The first set included 2,414 images of human faces which were cropped to roughly the same size and position for each face.  The second set included 167 images of human faces which were uncropped.  I used SVD on each set of images.  I then compared a sample image with an increasing number of principal modes.

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The Fun Begins

This blog documents my journey from a 13-year career in Patent Law to a career in Data Science. I am presently studying for a Master of Science in Physics at the University of Washington. I have been a part time student since January of 2018. Next quarter, I will be transitioning to a full-time student to accelerate my completion of my M.S. For summer quarter, I will be working on my capstone project. I intend to complete my studies in August of 2019.

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