James Tesiero
Principal Data Scientist Consultant
University of Maine, United States
James Tesiero is a Principal Data Scientist Consultant. He created a topic recommendation system based on a novel topic clustering method and a statistically robust NLP based document model that enhanced the concepts of the term frequency and inverse document frequency in Information Retrieval. Also developed a new method to cluster users based on content and online behavior. Created a
Data Mining Algorithms Clustering Algorithms Genetic Algorithms Machine Learning Algorithms Linear and Nonlinear Regression Robust Statistics Neural Networks Stochastic Processes Volatility Clustering Hidden Markov Models Monte Carlo Simulation Marketing Mix Models
Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report