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...
保存先:
| 第一著者: | |
|---|---|
| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| 版: | 1st ed. 2025. |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-032-01851-9 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-032-01851-9 | ||
| 003 | DE-He213 | ||
| 005 | 20260906081451.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 260102s2025 sz | o |||| 0|eng d | ||
| 020 | |a 9783032018519 |9 978-3-032-01851-9 | ||
| 024 | 7 | |a 10.1007/978-3-032-01851-9 |2 doi | |
| 050 | 4 | |a QA278-278.65 | |
| 072 | 7 | |a PBT |2 bicssc | |
| 072 | 7 | |a MAT029020 |2 bisacsh | |
| 072 | 7 | |a PBT |2 thema | |
| 082 | 0 | 4 | |a 519.535 |2 23 |
| 100 | 1 | |a Tilevik, Andreas. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Multivariate Statistics and Machine Learning in R For Beginners |h [electronic resource] : |b With Applications in Biology and Medicine / |c by Andreas Tilevik. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XVIII, 398 p.). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
| 341 | 0 | |b Use of colour is Not sole means of conveying information |2 onix | |
| 341 | 0 | |b Use of high contrast between text and background colour |2 onix | |
| 341 | 0 | |b Next / Previous structural navigation |2 onix | |
| 341 | 0 | |b All Non-decorative content supports reading without sight |2 onix | |
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Statistics |x Computer programs. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Biometry. | |
| 650 | 1 | 4 | |a Multivariate Analysis. |
| 650 | 2 | 4 | |a Statistical Learning. |
| 650 | 2 | 4 | |a Statistical Software. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Data and Information Visualization. |
| 650 | 2 | 4 | |a Biostatistics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783032018502 |
| 776 | 0 | 8 | |i Printed edition: |z 9783032018526 |
| 776 | 0 | 8 | |i Printed edition: |z 9783032018533 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-032-01851-9 |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 912 | |a ZDB-2-251 | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||
| 950 | |a Focus Bundle Mathematics and Statistics (SpringerNature-85421) | ||