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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 / Brett Lantz.
- Format:
- Book
- Author/Creator:
- Lantz, Brett, author.
- Series:
- Expert insight.
- Language:
- English
- Subjects (All):
- R (Computer program language)--Handbooks, manuals, etc.
- R (Computer program language).
- Machine learning--Statistical methods--Handbooks, manuals, etc.
- Machine learning.
- Physical Description:
- 1 online resource (763 pages)
- Edition:
- Fourth edition.
- Place of Publication:
- Birmingham, England : Packt Publishing, [2023]
- Summary:
- 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.
- Notes:
- Includes index.
- Description based on print version record.
- ISBN:
- 9781801076050
- 1801076057
- OCLC:
- 1380466738
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