Machine Learning for Animal Breeding

Machine learning (ML) is a subfield of artificial intelligence (AI). It focuses on algorithms that learn from data and even make predictions. Unlike regular programming, where we need to tell a computer exactly what to do, machine learning lets systems find patterns. ML models use statistics & get better as they are trained with more and more data. This makes them effective tools for predictive analytics, categorization, and pattern identification

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-01
DOI
https://doi.org/10.5281/zenodo.13624576
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning for Animal Breeding

Zenodo (CERN European Organization for Nuclear Research)
Gene expression and cancer classification
article

Machine Learning for Animal Breeding

article en

Abstract

Machine learning (ML) is a subfield of artificial intelligence (AI). It focuses on algorithms that learn from data and even make predictions. Unlike regular programming, where we need to tell a computer exactly what to do, machine learning lets systems find patterns. ML models use statistics & get better as they are trained with more and more data. This makes them effective tools for predictive analytics, categorization, and pattern identification

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 71%
Gene expression and cancer classification
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Machine Learning for Animal Breeding · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS