"Big Data" Webinar
An Executive Overview of Machine Learning
Tuesday, Apr 16th, 1-4pm
This is an online event.
Login and Dial-in information will be sent directly to your e-mail inbox by 4:00 p.m. EST Monday, April 15th.
About the Presenter
Nikolaos Vasiloglou, Ph.D.
Nikolaos Vasiloglou holds a Ph.D. from the Department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis is focused on scalable machine learning over massive datasets, including dimensionality reduction within manifold methods of isometry and convexity.
After graduating from Georgia Tech, he founded the companies Analytics1305 and Ismion. He then architected and developed the PaperBoat machine learning library, which has been successfully integrated and used in the LogicBlox and HPCC Systems platforms. Nikolaos has applied his skills and knowledge as a machine learning consultant to Predictix, Revolution Analytics, Damballa, Comrise, and LexisNexis.
Additional accomplishments include a pending patent on choice set modeling for retail forecasting problems, and developing applications of KD-trees in statistical analysis (2-point correlation), and kernel density estimation. His work with multidimensional indexing structures, including caching and parallelization, is focused on large-scale kernel algorithms such as Kernel PCA Support Vector Machines and Neural Networks.