Neal D
- Research Program Mentor
MS at University of Wisconsin - Madison
Expertise
Machine Learning, Data Science and Analytics, Data Structures and Algorithms, People Management, Computer Vision
Bio
Most simply, I am passionate about data analytics and how we can extract value from data. I worked closely as a consultant with healthcare organizations creating metrics for population health for physicians and patients. Over the past couple of years, I've taken that passion in a more technical direction as a machine learning engineer, creating data models in the energy and healthcare spaces. I especially enjoyed learning about techniques in natural language processing and computer vision. Outside of the classroom and workplace, I really enjoy playing board games such as Settlers of Catan and Dominion. I've also tried to spend as much time as I can outdoors. I especially enjoy biking, hiking, and playing tennis.Project ideas
Housing Price Prediction
The goal of this project would be to use statistical machine learning techniques to predict the selling price of a new home using existing datasets such as the Boston House Prices dataset. Students would perform exploratory data analysis in Python and learn about a few different regression techniques to predict unknown house prices. We would also cover basic uncertainty quantification so we have a good idea of how precise our predictions really are.
Image Classification (handwritten digits or tumor classification)
Using labeled images, we will create a basic neural network model to classify images. Two examples of such problems that can be solved would be classification of handwritten digits (0-9) and breast cancer tumor classification (benign vs malignant). Various techniques (e.g. multi-layer perceptron and convolutional neural network) will be used and their performance relative to one another will be compared and contrasted.