Machine Learning with R, Fourth Edition
eBook Details:
- Paperback: 762 pages
- Publisher: WOW! eBook; 4th edition (May 29, 2023)
- Language: English
- ISBN-10: 1801071322
- ISBN-13: 978-1801071321
eBook Description:
Machine Learning with R, 4th Edition: Learn how to solve real-world data problems using machine learning and R: The 10th Anniversary Edition of the bestselling R machine learning book, updated with 50% new content for R 4.0.0 and beyond
Machine learning, at its core, is concerned with transforming data into actionable knowledge. In this Machine Learning with R, 4th Edition book 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.
- Learn the end-to-end process of machine learning from raw data to implementation
- Classify important outcomes using nearest neighbor and Bayesian methods
- Predict future events using decision trees, rules, and support vector machines
- Forecast numeric data and estimate financial values using regression methods
- Model complex processes with artificial neural networks
- Prepare, transform, and clean data using the tidyverse
- Evaluate your models and improve their performance
- Connect R to SQL databases and emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlow
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.
