Introduction to Machine Learning and Neural Networks

Toby Dylan Hocking

doi:10.1201/9781032711126-47

Introduction to Machine Learning and Neural Networks

Toby Dylan Hocking

Informatics, Computing, and Cyber Systems, School of

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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 language	English (US)
Title of host publication	Land Carbon Cycle Modeling
Subtitle of host publication	Matrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition
Publisher	CRC Press
Pages	237-243
Number of pages	7
ISBN (Electronic)	9781040026298
ISBN (Print)	9781032698496
DOIs	https://doi.org/10.1201/9781032711126-47
State	Published - 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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Introduction to Machine Learning and Neural Networks

Abstract

ASJC Scopus subject areas

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