Over the past few years, there has been a substantial leap forward in the capabilities of machine learning (ML). ML techniques such as Random Forest, Gradient Boosted Trees, and Support Vector Machines as well as deep learning/artificial intelligence (AI) techniques such as Convolutional Nets, Auto Encoders, and Long-Short Term Models can enable highly accurate predictions to be made in a wide variety of contexts. Availability of large volumes of data combined with virtually unlimited computational power enabled the application of these highly non-linear techniques to predict risk, response, opportunity, and image detection outcomes with a remarkable accuracy. The improved predictions are i
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