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- 458pages
- 17 heures de lecture
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This book provides practical guidance on using R for tackling real-world data challenges through machine learning techniques. It covers essential concepts, tools, and methodologies for data analysis, enabling readers to apply machine learning algorithms effectively. The focus is on hands-on examples and case studies, making complex theories accessible for practitioners. Readers will learn to preprocess data, build predictive models, and evaluate their performance, equipping them with the skills needed to solve data-driven problems in various domains.
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Machine Learning with R - Third Edition, Brett Lantz
- Langue
- Année de publication
- 2019
- Reliure
- (souple)
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- Titre
- Machine Learning with R - Third Edition
- Sous-titre
- Expert techniques for predictive modeling
- Langue
- Anglais
- Auteurs
- Brett Lantz
- Éditeur
- Packt Publishing
- Publié
- 2019
- Format
- souple
- Pages
- 458
- ISBN10
- 1788295862
- ISBN13
- 9781788295864
- Séries
- Mots clés
- Manuels et guides, Technologie, Littérature spécialisée, Intelligence Artificielle, Algorithmes, Prognostique, Apprentissage automatique
- Description
- This book provides practical guidance on using R for tackling real-world data challenges through machine learning techniques. It covers essential concepts, tools, and methodologies for data analysis, enabling readers to apply machine learning algorithms effectively. The focus is on hands-on examples and case studies, making complex theories accessible for practitioners. Readers will learn to preprocess data, build predictive models, and evaluate their performance, equipping them with the skills needed to solve data-driven problems in various domains.