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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Mathematik Wahrscheinlichkeitstheorie & Statistik Multivariate Statistics and Machine Learning in R For Beginners
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Multivariate Statistics and Machine Learning in R For Beginners
Andreas Tilevik (Gebundene Ausgabe, Englisch)
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Beschreibung
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 data-driven insights shape every field, mastering multivariate statistics and machine learning… techniques has never been more essential. Each chapter links directly to videos, which explain the theoretical foundations of the statistical or machine learning methods in a basic way. Following each video, readers will find R code that replicates the analyses presented in the videos, empowering them to see real-world applications in action. Many exercises are included, allowing the readers to test their understanding of each concept through hands-on practice. The book covers a comprehensive range of essential topics in multivariate statistics and machine learning, including fundamentals of matrix operations, multivariate plotting, and correlation, as well as methods for multivariate data analysis such as multivariate analysis of variance (MANOVA), principal component analysis (PCA), clustering, decision trees, discriminant analysis, random forest, partial least squares (PLS), canonical correlation analysis (CCA) and survival analysis. It also includes two case studies that reproduce the multivariate analyses in two scientific papers related to drug discovery and biomarker identification. By integrating videos with practical coding examples, this text makes complex topics accessible for beginners. The interactive learning approach ensures that readers not only grasp the statistical theories and machine learning concepts but also gain the confidence to apply them effectively in real-world scenarios. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
03.01.2026
Sprache
Englisch
EAN
9783032018502
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Andreas Tilevik
Seitenanzahl
398
Einbandart
Gebundene Ausgabe
Buch Untertitel
With Applications in Biology and Medicine
Schlagwörter
Multivariate Statistics, MANOVA, Sensitivity and Specificity, ROC curves, PCA (Principal Component Analysis), Clustering, Classification, Machine Learning, Supervised learning, LDA (Linear Discriminant Analysis), Decision trees, Random forest, k-nearest neighbors, PLS regression, PCR regression, LASSO regression, PERMANOVA, survival analysis, Data analysis with R, Applied statistics
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik
UYQM - Maschinelles Lernen
UFM - Mathematische und statistische Software
UYZF - Informationsvisualisierung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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