Contests in Signal Processing and Machine Learning

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Contests in Signal Processing and Machine Learning

During the last couple of months, a few new Signal Processing and Machine Learning contests were initiated. Some of the ongoing ones with a strong relation to Signal Processing include:

From the domain of smart agriculture, there is a Kaggle contest asking to predict rainfall using remote sensing instruments such as polarimetric radar.  The competition provides polarimetric radar values and derived quantities at a location over the period of one hour. The goal is to produce a probabilistic distribution of the hourly rain gauge total.

Another contest also from Kaggle focuses on the use of telematic data to identify a driver signature. telematics gives the opportunity to measure the quantity and quality of a driver's behavior. This can lead to insurance savings for safe or infrequent drivers, and transition the burden to policies that represent increased liability. Participants must come up with a "telematic fingerprint" capable of distinguishing when a trip was driven by a given driver.

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