dangerous seismic event
Machine Learning Models Predicting Dangerous Seismic Events
Underground mining poses a number of threats including fires, methane outbreaks or seismic tremors and bumps. An automatic system for predicting and alerting against such dangerous events is of utmost importance โ and also a great challenge for data scientists and their machine learning models. This was the inspiration for the organizers of AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines. Our solutions topped the final leaderboard by taking the first two places. In this post, we present the competition and describe our winning approach.
Weekly Digest, November 28
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a is our selection for the picture of the week. Python, Machine Learning, and Language Wars - A Highly Subjective Point of View Machine Learning Models Predicting Dangerous Seismic Events Who Made the News? Can weather data add a pinch of salt to your prediction models?
Machine Learning Models Predicting Dangerous Seismic Events
Underground mining poses a number of threats including fires, methane outbreaks or seismic tremors and bumps. An automatic system for predicting and alerting against such dangerous events is of utmost importance โ and also a great challenge for data scientists and their machine learning models. This was the inspiration for the organizers of AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic Events in Active Coal Mines. Our solutions topped the final leaderboard by taking the first two places. In this post, we present the competition and describe our winning approach.
Machine Learning Models Predicting Dangerous Seismic Events
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