Deep Learning for Traffic Forecasting
Eric discusses the use of deep learning for short term traffic forecasting and questions its applicability and advantages compared to other modeling techniques. He highlights the disadvantages of deep learning, such as being a black box and consuming excessive hardware resources, and raises the question of why it should be chosen if it doesn't provide significant improvements or insightful conclusions.In this clip
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Data Skeptic
Deep Learning for Road Traffic Forecasting
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