Articles liés à R for Data Science: Implementing Machine Learning Models

R for Data Science: Implementing Machine Learning Models - Couverture souple

Yaya, Olaoluwa S.; Adepoju, Mary M.

 
9786209540547: R for Data Science: Implementing Machine Learning Models
Couverture souple
ISBN 10 : 6209540546 ISBN 13 : 9786209540547
Editeur : LAP LAMBERT Academic Publishing, 2026

Synopsis

Unlock the power of machine learning in R with R for Data Science: Implementing Machine Learning Models. This comprehensive guide equips data scientists, analysts, and R enthusiasts with the practical skills needed to build, evaluate, and deploy advanced machine learning solutions across domains. Covering both fundamental and advanced topics, this book blends theory, hands-on examples, and real-world workflows to empower readers to harness R’s full capabilities.Learn how to:• Preprocess, clean, and transform data for robust analysis.• Build predictive models with regression, classification, and time series techniques.• Apply natural language processing and text analytics to extract insights from unstructured data.• Explore clustering, dimensionality reduction, and anomaly detection in unsupervised learning.• Optimize models through hyperparameter tuning, ensemble methods, and stacking strategies.• Develop reproducible workflows, pipelines, and deployment-ready solutions in R.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2026
Langue
anglais
ISBN 10 
6209540546
ISBN 13 
9786209540547
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
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