Lantz, Brett
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
- ISBN 13:
- 9781801071321
- author:
- Lantz, Brett
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2023
- Pages:
- 762
- Dimensions:
- 23.5 x 19.1 x 3.9 centimetres (1
- Genre:
- Computers, Enterprise Applications, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
explores R with this comprehensive guide to machine learning. Machine Learning with R takes you through classification methods like nearest neighbor and Naive Bayes, regression modeling, and deep learning with neural networks and support vector machines. You'll learn how to unlock hidden patterns within your data using k-means clustering, master feature engineering, and tackle challenging data scenarios. The book also covers advanced data preparation, model performance evaluation, and ensemble methods for improving model performance. With a focus on practical applications and real-world examples, this guide helps you conquer high-dimensionality, sparsity, and imbalanced data with confidence. Perfect for those new to R or looking to improve their machine learning skills, Machine Learning with R is an essential resource for anyone working with data.