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Topic: Kaggle: Africa Soil Property Prediction Challenge (Read 2186 times) |
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william wu
wu::riddles Administrator
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Kaggle: Africa Soil Property Prediction Challenge
« on: Aug 28th, 2014, 12:53pm » |
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Hello there uberpuzzlers!
It's been a while since I posted here ... but I just wanted to inform the wu::riddles community about a new machine learning contest that I have been behind the launch of, in collaboration with Kaggle:
https://www.kaggle.com/c/afsis-soil-properties
The problem is to predict the concentrations of Calcium, Phosphorus, pH level, Carbon, and Sand in the soils of Africa, given mid-infrared spectroscopy measurements. Winners will not only be awarded with cash prizes, but also have real impact toward improving ecological planning and agricultural productivity in Africa.
Top-performing algorithms will be incorporated into machine learning workflows used by the Africa Soil Information Service, being developed in collaboration with my company, QED (http://qed.ai).
So, I cordially invite you to participate in this unique opportunity to develop cutting-edge technology for a worthy humanitarian cause.
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| « Last Edit: Aug 28th, 2014, 12:54pm by william wu » |
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