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Predicting Spatial Data with Rotation Gradients and Machine Learning

De Pinho, Bruno


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{
  "description": "<p>Using Machine Learning (ML) algorithms to predict Airbourne Geophysics. A simple, but powerful solution using Rotation Gradients to add complexity to the model with a Automated Machine Learning (AutoML) implementation.</p>", 
  "creator": [
    {
      "affiliation": "Geology and Python", 
      "@type": "Person", 
      "name": "De Pinho, Bruno"
    }
  ], 
  "url": "https://zenodo.org/record/889923", 
  "datePublished": "2017-09-12", 
  "keywords": [
    "machine-learning, geophysics, geology, python, automl"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.889923", 
  "@id": "https://doi.org/10.5281/zenodo.889923", 
  "@type": "CreativeWork", 
  "name": "Predicting Spatial Data with Rotation Gradients and Machine Learning"
}
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