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Developments in data analysis for decision-making in precision livestock farming systems
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This chapter focuses on supervised learning techniques such as decision trees and linear prediction models, as well as unsupervised learning techniques such as clustering. Fitting the model to data...
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20 September 2021

This chapter focuses on supervised learning techniques such as decision trees and linear prediction models, as well as unsupervised learning techniques such as clustering. Fitting the model to data and the phenomenon of overfitting are described. For each technique, an example has been added for livestock data.
Price: £25.00
Publisher: Burleigh Dodds Science Publishing
Imprint: Burleigh Dodds Science Publishing
Series: Burleigh Dodds Series in Agricultural Science
Publication Date:
20 September 2021
ISBN: 9781801462556
Format: eBook
BISACs:
TECHNOLOGY & ENGINEERING / Agriculture / Animal Husbandry, Dairy farming, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, Sustainable agriculture, Agricultural science, Agricultural engineering and machinery
1 Introduction 2 Data science and data mining 3 Machine learning 4 Conclusion and future trends 5 Where to look for further information 6 Acknowledgements 7 References