Practical Machine Learning with R Tutorials and Case Studies | Statistics

Product Description

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine learning emphasizing practical applications over complex mathematical concepts. Students are not required to have advanced mathematics knowledge such as matrix algebra or calculus. The author introduces machine learning algorithms utilizing the widely used R language for statistical analysis. Each chapter includes examples case studies and interactive tutorials to enhance understanding. No prior programming knowledge is needed. The book leverages the tidymodels package an extension of R to streamline data proces…