Multivariate Statistics and Machine Learning in R For Beginners: With Applications in Biology and Medicine
Author:   Andreas Tilevik
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032018502


Pages:   398
Publication Date:   03 January 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Multivariate Statistics and Machine Learning in R For Beginners: With Applications in Biology and Medicine


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Full Product Details

Author:   Andreas Tilevik
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032018502


ISBN 10:   3032018501
Pages:   398
Publication Date:   03 January 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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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Author Information

Andreas Tilevik is an associate professor in Systems Biology at the University of Skövde, Sweden. He has more than 15 years of teaching and research experience in data analysis and machine learning. Andreas holds a PhD from the University of New South Wales, Australia, in computational biology and has a bachelor's degree in statistics from Karlstad University, Sweden. He is also the creator of the YouTube channel TileStats, which includes more than 100 videos in statistics and machine learning.

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