Machine Learning
Topic models are algorithms that uncover hidden thematic structures in document collections. They help develop new ways to search, browse and summarize large archives of texts.
The right information delivered at the right time can make apps and ads more appealing and
relevant. It requires both location data and a temporal framework that gives meaning to each location.
IoT sensors monitor everything from energy consumption and water usage to air temperature and elevator status to conserve energy, reduce waste, and save money.
About
Machine learning uses computational, theoretical, and statistical principles to develop algorithms that model data from real-world phenomena and make accurate predictions about the phenomena. Machine learning operates in supervised, unsupervised and semi-supervised settings to perform classification, regression, visualization, clustering, dimensionality reduction, network modeling, graphical modeling, inference and structured prediction.
Machine Learning @ Columbia 
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