Collaborating with 5 students to study the vectorization of inductive bias for ML regression algorithms for analysis and comparison of the biases of different algorithms using scikit-learn
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Problem-solving how to represent vectors of continuous search spaces into a discretely-sized vector
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Researching solutions using Kernel Density Estimation, Conditional Density Estimations, and Hashing Tricks
Tutored for Mudd's Intro to CS class and helped students work through problems about Python lists, recursion, iterations, assembly, logic circuits, AI, and finite state machines
