Machine Learning

Technical

Builds artificial intelligence ("AI") based software that can learn and improve from data and experience.

Develops and programs integrated algorithms to structure, analyze and leverage data in products and systems applications.
Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
Uses machine language and statistical modeling techniques such as decision trees, logistic regression, and analysis to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
Uses a variety of techniques to handle large datasets and complex information by using statistics, planning and control, databases, and natural language processing.