Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition /: Expert techniques for predictive modeling, 3rd Edition. (2019)
- Record Type:
- Book
- Title:
- Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition /: Expert techniques for predictive modeling, 3rd Edition. (2019)
- Main Title:
- Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition
- Further Information:
- Note: Brett Lantz.
- Authors:
- Lantz, Brett
- Contents:
- Table of ContentsIntroducing Machine LearningManaging and Understanding DataLazy Learning – Classification Using Nearest NeighborsProbabilistic Learning – Classification Using Naive BayesDivide and Conquer – Classification Using Decision Trees and RulesForecasting Numeric Data – Regression MethodsBlack Box Methods – Neural Networks and Support Vector MachinesFinding Patterns – Market Basket Analysis Using Association RulesFinding Groups of Data – Clustering with k-meansEvaluating Model PerformanceImproving Model PerformanceSpecialized Machine Learning Topics.
- Edition:
- Third edition
- Publisher Details:
- Birmingham : Packt Publishing
- Publication Date:
- 2019
- Extent:
- 1 online resource (458 pages)
- Subjects:
- Computers -- Database Management -- Data Mining
Computers -- Programming -- Algorithms
Algorithms & data structures
Data mining
Computers -- Intelligence (AI) & Semantics
Artificial intelligence - Languages:
- English
- ISBNs:
- 9781788291552
1788291557 - Related ISBNs:
- 9781788295864
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.414606
- Ingest File:
- 02_517.xml