Introduction to Machine Learning and Neural Networks

Research output: Chapter in Book/Report/Conference proceedingChapter


In this chapter we introduce basic concepts and algorithms from machine learning. We explain how neural networks can be used for regression and classification problems, and how cross-validation can be used for training and testing machine learning algorithms.

Original languageEnglish (US)
Title of host publicationLand Carbon Cycle Modeling
Subtitle of host publicationMatrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition
PublisherCRC Press
Number of pages7
ISBN (Electronic)9781040026298
ISBN (Print)9781032698496
StatePublished - Jan 1 2024

ASJC Scopus subject areas

  • General Business, Management and Accounting
  • General Agricultural and Biological Sciences
  • General Earth and Planetary Sciences
  • General Environmental Science
  • General Engineering


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