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00000cam a22000007i 4500 |
001 |
OR_on1381263012 |
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OCoLC |
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20231017213018.0 |
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m o d |
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cr cnu|||unuuu |
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230606s2023 enka o 001 0 eng d |
040 |
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|a ORMDA
|b eng
|e rda
|e pn
|c ORMDA
|d EBLCP
|d YDX
|d OCLCF
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019 |
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|a 1380466738
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|z 9781801071321
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|a 9781801076050
|q electronic book
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|a 1801076057
|q electronic book
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035 |
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|a (OCoLC)1381263012
|z (OCoLC)1380466738
|
037 |
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|a 9781801071321
|b O'Reilly Media
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4 |
|a Q325.5
|b .L36 2023
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082 |
0 |
4 |
|a 006.3/1
|2 23/eng/20230606
|
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|a UAMI
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100 |
1 |
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|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 |
|
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|a Fourth edition.
|
264 |
|
1 |
|a Birmingham, UK :
|b Packt Publishing Ltd.,
|c 2023.
|
300 |
|
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|a 1 online resource (762 pages) :
|b illustrations
|
336 |
|
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
|
338 |
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|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
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|a Expert insight.
|
500 |
|
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|a Includes index.
|
520 |
|
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|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.
|
588 |
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|a Description based upon online resource; title from PDF title page (viewed July 3rd, 2023).
|
590 |
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a R (Computer program language)
|v Handbooks, manuals, etc.
|
650 |
|
0 |
|a Machine learning
|x Statistical methods
|v Handbooks, manuals, etc.
|
650 |
|
7 |
|a Machine learning
|x Statistical methods.
|2 fast
|0 (OCoLC)fst01004801
|
650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
655 |
|
0 |
|a Electronic books.
|
655 |
|
7 |
|a Handbooks and manuals.
|2 fast
|0 (OCoLC)fst01423877
|
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://learning.oreilly.com/library/view/~/9781801071321/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
938 |
|
|
|a ProQuest Ebook Central
|b EBLB
|n EBL30547398
|
994 |
|
|
|a 92
|b IZTAP
|