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Machine Learning


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.