Machine Learning for Knowledge Discovery with R - Couverture souple

Tsai, Kao-Tai

 
9781032071596: Machine Learning for Knowledge Discovery with R
Couverture souple
ISBN 10 : 1032071591 ISBN 13 : 9781032071596
Editeur : Chapman and Hall/CRC, 2023

Synopsis

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein.

Key Features:

  • Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies.
  • Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations.
  • Written by statistical data analysis practitioner for practitioners.

The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Kao-Tai Tsai obtained his Ph.D. in Mathematical Statistics from University of California, San Diego and had worked at AT&T Bell Laboratories to conduct statistical research, modelling, and exploratory data analysis. After that, he joined the US FDA and later pharmaceutical companies focusing on biostatistics, clinical trial research and data analysis to address the unmet needs in human health.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman and Hall/CRC
Date d'édition
2023
Langue
anglais
ISBN 10 
1032071591
ISBN 13 
9781032071596
Reliure
Broché
Nombre de pages
260
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9781032065366: Machine Learning for Knowledge Discovery with R

Edition présentée

ISBN 10 :  1032065362 ISBN 13 :  9781032065366
Editeur : Chapman and Hall/CRC, 2021
Couverture rigide