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...

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Bibliographic Details
Main Author: Lantz, Brett, (Author)
Format: eBook
Language: English
Published: Birmingham, UK : Packt, [2019]
Edition: Third edition.
Series: Expert insight.
Subjects:
Machine learning.
R (Computer program language)
elektronické knihy
electronic books
ISBN: 9781523125241
1523125241
9781788291552
1788291557
1788295862
9781788295864
Physical Description: 1 online resource (xiii, 437 pages) : illustrations

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Table of contents

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020 |z 1788295862 
024 3 |a 9781788295864 
035 |a (OCoLC)1124738002  |z (OCoLC)1097960814  |z (OCoLC)1099352179  |z (OCoLC)1151984455  |z (OCoLC)1275065235  |z (OCoLC)1301392192 
100 1 |a Lantz, Brett,  |e author. 
245 1 0 |a Machine learning with R :  |b expert techniques for predictive modeling /  |c Brett Lantz. 
250 |a Third edition. 
264 1 |a Birmingham, UK :  |b Packt,  |c [2019] 
300 |a 1 online resource (xiii, 437 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Expert insight 
500 |a Includes index. 
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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Machine learning. 
650 0 |a R (Computer program language) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Lantz, Brett.  |t Machine learning with R  |z 9781788295864 
830 0 |a Expert insight. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpMLRE000A/machine-learning-with?kpromoter=marc  |y Full text 

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