Machine Learning with R

Learn how to apply machine learning to real-world problems with this updated and improved guide to R machine learning. This third edition covers newer libraries, ethical and bias issues in machine learning, and an introduction to deep learning. Discover machine learning methods to gain insights from your data and make new predictions, and explore techniques such as decision trees, support vector machines, and artificial neural networks. This clear, hands-on guide is perfect for experienced R users or those new to the language. Perfect for data scientists, students, and practitioners looking for a clear, accessible guide to machine learning with R.