In this 10th anniversary edition, updated with 50% new content for R 4.0.0 and beyond, Brett Lantz looks at what's needed for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. It features several new chapters that reflect the progress of machine learning in the last few years to help readers build their data science skills and tackle more challenging problems, including making successful machine learning models, advanced data preparation and making use of big data.

<ASIN:1801071322 >

Author: Brett Lantz
Publisher: Packt Publishing
Date: May 2023
Pages: 762
ISBN: 978-1801071321
Print: 1801071322
Kindle: B0B9YNZD15
Audience: R developers
Level: Intermediate
Category: Artificial Intelligence

Topics covered:

• 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

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