Machine learning with R

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 : regress...

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Permalink: http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:45708/Details
Glavni autor: Lantz, Brett (-)
Vrsta građe: Knjiga
Jezik: eng
Impresum: Birmingham, UK [u.a.] : Packt Publ, 2013.
Izdanje: 1. izd
Nakladnička cjelina: Community experience distilled
Packt open source
Predmet:
LEADER 01643nam a2200289 u 4500
005 20160329143523.0
008 141023s2013 ||| eng
020 |a 9781782162148 
020 |a 1782162143 
040 |a HR-ZaFER  |b hrv  |c HR-ZaFER  |e ppiak 
041 0 7 |a eng  |2 ISO 639-2 
100 |a Lantz, Brett  |9 35278 
245 0 0 |a Machine learning with R :  |b Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications /  |c Brett Lantz 
250 |a 1. izd. 
260 |a Birmingham, UK [u.a.] :  |b Packt Publ.,  |c 2013. 
300 |a VII, 375 str. .  |b graf. prikazi ; 
490 0 |a Community experience distilled 
490 0 |a Packt open source 
520 |a 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 -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. 
653 |a R (Computer program language) -- Handbooks, manuals, etc 
653 |a Machine learning -- Statistical methods -- Handbooks, manuals, etc 
653 |a Machine learning -- Statistical methods 
653 |a R (Computer program language) 
900 |b 11;BV042143155 
900 |a KBV 
942 |2 udc  |c K 
999 |c 45708  |d 45708