CS771: Introduction to Machine Learning

CS300A: Technical Communications

ESC101: Fundamentals of Computing

1. Worked on SQLite database, executed CRUD operations, and maintained the metadata of image files for a content-based image retrieval system2. Created Flask API for the content-based image retrieval system that delivers top-k similar images based on the user’s query image3. Conducted an in-depth comparative study of state-of-the-art neural image compression models

1. Conducted comprehensive experiments with self-organizing maps (SOMs) to leverage their 2D data visualization capability and perform unsupervised feature selection2. Employed SOMs to project high-dimensional data onto a 2D lattice representation while incorporating Sammon’s structure-preserving loss for selecting relevant features, preserving the data representation within the reduced 2D space

1. Implemented t-distributed stochastic neighbor embedding (t-SNE) and experimented with diverse modifications to enhance visualization quality for intricate datasets with potential overlapping manifolds among classes2. Explored autoencoder-based manifold learning methods, leveraging latent spaces for impactful 2D visualizations