The Power of Machine Learning in Environmental Science: Supervised and Unsupervised Models

The Power of Machine Learning in Environmental Science: Supervised and Unsupervised Models

This article introduces clustering analysis and linear regression as examples of unsupervised and supervised modeling respectively. Both machine learning techniques have powerful applications for studying how ecosystem parameters may affect one another.

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Topics

  • data science
  • data literacy
  • environmental science
  • climate change
  • high school
  • next generation science standards
  • NGSS
  • regression
  • clustering
  • supervised model
  • unsupervised model
  • correlation