spencermyoung513 Goto Github PK
Name: Spencer Young
Type: User
Company: Delicious AI
Bio: ML Engineer @ Delicious AI. Simultaneously a mathematician, computer scientist, and a (Bayesian) statistician.
Location: Lehi, UT
Spencer Young's Projects
doctor-ranking
In this project, I created an end-to-end system for ranking doctors based on medical insurance claims data.
learning-automobile-styles
Code for research work conducted with Porter Jenkins and Jeff Larson at Brigham Young University. We are attempting to see if a convolutional neural network can learn high-level features of style evolution in automobiles over time.
least-squares-regression
Short project modeling velocity/displacement data from a rocket launch with least squares regression techniques.
markov-speech-generation
Contains a simple Markov Chain model I built, along with a demo of how to use it to generate speech.
modeling-infectious-diseases
Contains a short project I did that uses variants of SIR models to simulate the spread of an infectious disease.
neural-net-mcmc-optimization
In this project, we are looking at using MCMC Simulated Annealing techniques to find the optimal weights for simple neural networks.
principal-component-analysis
Analyzing multidimensional cancer survey data to predict which of two respondents is at a higher risk (using Principal Component Analysis)
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