Detailed explanations of regularized regression, deep learning for multivariate outcomes, and hyperparameters tuning.
Covers linear multiple regression models, ordinary least squares (OLS), and maximum likelihood (ML) methods. Detailed explanations of regularized regression
The book by Osval Antonio Montesinos López, Abelardo Montesinos López, and José Crossa is a comprehensive guide on modern genomic selection techniques. Download Options (Open Access) deep learning for multivariate outcomes