Machine learning with R :: expert techniques for predictive modeling /
A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, a...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt,
[2019]
|
| Ausgabe: | Third edition. |
| Schriftenreihe: | Expert insight.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (xiii, 437 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781523125241 1523125241 9781788291552 1788291557 1788295862 9781788295864 |
| Zugangseinschränkungen: | Legal Deposit; |
Internformat
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| 505 | 0 | |a Introducing machine learning -- Managing and understanding data -- Lazy learning -- classification using nearest neighbors -- Probabilistic learning -- classification using naive Bayes -- Divide and conquer -- classification using decision trees and rules -- Forecasting numeric data -- regression methods -- Black box methods -- neural networks and support vector machines -- Finding patterns -- market basket analysis using association rules -- Finding groups of data -- clustering with k-means -- Evaluation model performance -- Improving model performance -- Specialized machine learning topics. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning. | ||
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| author | Lantz, Brett |
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| contents | Introducing machine learning -- Managing and understanding data -- Lazy learning -- classification using nearest neighbors -- Probabilistic learning -- classification using naive Bayes -- Divide and conquer -- classification using decision trees and rules -- Forecasting numeric data -- regression methods -- Black box methods -- neural networks and support vector machines -- Finding patterns -- market basket analysis using association rules -- Finding groups of data -- clustering with k-means -- Evaluation model performance -- Improving model performance -- Specialized machine learning topics. |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Third edition. |
| format | Electronic eBook |
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| series | Expert insight. |
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| spelling | Lantz, Brett, author. http://id.loc.gov/authorities/names/no2011002944 Machine learning with R : expert techniques for predictive modeling / Brett Lantz. Third edition. Birmingham, UK : Packt, [2019] 1 online resource (xiii, 437 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Expert insight Includes index. Introducing machine learning -- Managing and understanding data -- Lazy learning -- classification using nearest neighbors -- Probabilistic learning -- classification using naive Bayes -- Divide and conquer -- classification using decision trees and rules -- Forecasting numeric data -- regression methods -- Black box methods -- neural networks and support vector machines -- Finding patterns -- market basket analysis using association rules -- Finding groups of data -- clustering with k-means -- Evaluation model performance -- Improving model performance -- Specialized machine learning topics. Includes bibliographical references and index. A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning. 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). WlAbNL Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Apprentissage automatique. R (Langage de programmation) Algorithms & data structures. bicssc Data mining. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages General. bisacsh Machine learning fast R (Computer program language) fast Electronic book. has work: Machine learning with R (Text) https://id.oclc.org/worldcat/entity/E39PCGdBQpFVrd3RMFHG7XmY4C https://id.oclc.org/worldcat/ontology/hasWork Print version: Lantz, Brett. Machine learning with R 9781788295864 Expert insight. http://id.loc.gov/authorities/names/no2019019794 |
| spellingShingle | Lantz, Brett Machine learning with R : expert techniques for predictive modeling / Expert insight. Introducing machine learning -- Managing and understanding data -- Lazy learning -- classification using nearest neighbors -- Probabilistic learning -- classification using naive Bayes -- Divide and conquer -- classification using decision trees and rules -- Forecasting numeric data -- regression methods -- Black box methods -- neural networks and support vector machines -- Finding patterns -- market basket analysis using association rules -- Finding groups of data -- clustering with k-means -- Evaluation model performance -- Improving model performance -- Specialized machine learning topics. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Apprentissage automatique. R (Langage de programmation) Algorithms & data structures. bicssc Data mining. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages General. bisacsh Machine learning fast R (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh2002004407 |
| title | Machine learning with R : expert techniques for predictive modeling / |
| title_auth | Machine learning with R : expert techniques for predictive modeling / |
| title_exact_search | Machine learning with R : expert techniques for predictive modeling / |
| title_full | Machine learning with R : expert techniques for predictive modeling / Brett Lantz. |
| title_fullStr | Machine learning with R : expert techniques for predictive modeling / Brett Lantz. |
| title_full_unstemmed | Machine learning with R : expert techniques for predictive modeling / Brett Lantz. |
| title_short | Machine learning with R : |
| title_sort | machine learning with r expert techniques for predictive modeling |
| title_sub | expert techniques for predictive modeling / |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Apprentissage automatique. R (Langage de programmation) Algorithms & data structures. bicssc Data mining. bicssc Artificial intelligence. bicssc COMPUTERS Programming Languages General. bisacsh Machine learning fast R (Computer program language) fast |
| topic_facet | Machine learning. R (Computer program language) Apprentissage automatique. R (Langage de programmation) Algorithms & data structures. Data mining. Artificial intelligence. COMPUTERS Programming Languages General. Machine learning Electronic book. |
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