Description: It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool.
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Title: Multivariate Statistical Machine Learning Methods For Genomic Pr
Weight: 1292
EAN: 9783030890094
ISBN-10: 9783030890094
Date of Publication: 2022-01
Place of Publication: 2022-01
Book Series: Springer
Genre: TECHNOLOGY & ENGINEERING / Agriculture / General
Narrative Type: N/A
Features: N/A
Intended Audience: N/A
Ex Libris: No
Editor: N/A
Edition: N/A
Pagination: 716
Dimensions: 921x614
Number of Pages: 678 Pages
Language: English
Publication Name: Multivariate Statistical Machine Learning Methods for Genomic Prediction
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Medicine, Zoology, Biology, Mathematics, Healthcare System
Item Height: 235 mm
Type: Textbook
Author: Osval Antonio Montesinos Lopez, Jose Crossa Hiriart, Abelardo Montesinos Lopez
Subject Area: Natural Science
Item Width: 155 mm
Format: Hardcover
