Buchumschlag

Multivariate Statistics and Machine Learning in R For Beginners With Applications in Biology and Medicine /

This book is more than just a book – it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers readers a unique blend of theory, practice, and application in biology and medicine. In an era where...

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Bibliographische Detailangaben
1. Verfasser: Tilevik, Andreas (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schlagworte:
Multivariate analysis.
Machine learning.
Statistics > Computer programs.
Information visualization.
Biometry.
Multivariate Analysis.
Statistical Learning.
Statistical Software.
Machine Learning.
Data and Information Visualization.
Biostatistics.
Online-Zugang:https://doi.org/10.1007/978-3-032-01851-9
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Inhaltsangabe:
  • A brief introduction to machine learning and multivariate statistics
  • Matrix algebra
  • Managing data in R
  • Graphical illustration of multivariate data
  • Multivariate relationships
  • PCA and PCoA
  • Linear discriminant analysis
  • Distances in space
  • Multivariate statistical tests
  • Classification and performance metrics
  • Supervised Machine Learning
  • Clustering
  • PCR, PLS and Lasso regression
  • Case studies
  • Anwers to exercises.

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