Skills • Coursework
Skills Expanded
A deeper look at what I know in data and ML.
Data / ML
Algorithms I've studied and applied in projects.
Deep Neural Networks
Convolutional NN
Recurrent NN
Stochastic Gradient Descent
Minibatch
Regularization
Clustering
Classification
Linear Regression
Multinomal LR
Logistic Regression
Multivariate LR
Supervised Training
Unsupervised Training
Semi-Supervised Training
Discriminative Models
Generative Models
Forward Prop.
Backward Prop.
Coursework
Notable coursework I have completed.
ML
CS 481 - Deep Learning
DATA 471 - Machine Learning
DATA 311 - Fundamentals of DS
Math
M/CS 335 - Linear Optimization
MATH 304 - Linear Algebra II
MATH 342 - Statistics II
M/CS 375 - Numerical Computation
MATH - Vector Calculus
CS
CS 330 - Databases
CS 345 - Object Oriented Design
CS 301 - Formal Language & Functional Programming
CS 241 - Data Structures
CS 102 - Computer Mediated Communication