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 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 applying...

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Bibliographische Detailangaben
1. Verfasser: Lantz, Brett (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham Packt Publishing 2023
Ausgabe:Fourth edition
Online-Zugang:DE-1043
DE-Aug4
DE-573
DE-898
DE-2070s
DE-91
DE-706
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Zusammenfassung: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 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 ML in the last few years and help you build your data science skills and tackle more challenging problems, including making successful ML models and advanced data preparation, building better learners, and making use of big data. You'll also find updates to the classic R data science book 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. Find powerful new insights in your data; discover machine learning with R.
Beschreibung:Description based on publisher supplied metadata and other sources
Beschreibung:1 Online-Ressource (xxi, 761 Seiten)
ISBN:9781801076050

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