It’s no secret that deep learning lets data science practitioners reach new levels of accuracy with predictive models. However, one of the drawbacks of deep learning is it typically requires huge data ...

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Machine learning techniques ... the computational burden of nested simulations. This work investigates the potential of well-established methods, such as deep learning networks and support vector ...

While this artificial intelligence (AI) discipline was first conceived in the late 1950s, the recent jump into deep learning and other AI methods is fueled by the recent increase in hardware power, ...