Machine learning with R : learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data

Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applyin...

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Bibliographic Details
Main Author: Lantz, Brett, (Author)
Format: eBook
Language: English
Published: Birmingham, UK : Packt Publishing Ltd., 2023.
Edition: Fourth edition.
Series: Expert insight.
Subjects:
ISBN: 9781801071321
9781801076050
1801076057
Physical Description: 1 online resource (762 pages) : illustrations

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Table of contents

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040 |a ORMDA  |b eng  |e rda  |e pn  |c ORMDA  |d EBLCP  |d YDX  |d OCLCF  |d OCLCO 
020 |z 9781801071321 
020 |a 9781801076050  |q electronic book 
020 |a 1801076057  |q electronic book 
035 |a (OCoLC)1381263012  |z (OCoLC)1380466738 
100 1 |a Lantz, Brett,  |e author. 
245 1 0 |a Machine learning with R :  |b learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data /  |c Brett Lantz. 
250 |a Fourth edition. 
264 1 |a Birmingham, UK :  |b Packt Publishing Ltd.,  |c 2023. 
300 |a 1 online resource (762 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. 
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 Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data. You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you're looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a R (Computer program language)  |v Handbooks, manuals, etc. 
650 0 |a Machine learning  |x Statistical methods  |v Handbooks, manuals, etc. 
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  |d Birmingham : Packt Publishing, Limited,c2023  |z 9781801071321 
830 0 |a Expert insight. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpMLRL0001/machine-learning-with?kpromoter=marc  |y Full text