A Practical Machine Leaing with R:Tutorials and Case Studies
by: Carsten Lange (Author)
Publisher: Chapman and Hall/CRC
Edition:1st
Publication Date: 20 May 2024
Language: English
Print Length: 352 pages
ISBN-10: 1032434058
ISBN-13: 9781032434056
Book Description
This textbook is a comprehensive guide to machine leaing and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine leaing, 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 leaing 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 processing and model workflows. This package simplifies commands, making the logic of algorithms more accessible by minimizing programming syntax hurdles. The use of tidymodels ensures a unified experience across various machine leaing models.With interactive tutorials that students can download and follow along at their own pace, the book provides a practical approach to apply machine leaing algorithms to real-world scenarios.In addition to the interactive tutorials, each chapter includes a Digital Resources section, offering links to articles, videos, data, and sample R code scripts. A companion website further enriches the leaing and teaching experience:https://ai.lange-analytics.com.This book is not just a textbook; it is a dynamic leaing experience that empowers students and instructors alike with a practical and accessible approach to machine leaing in business and economics. Key Features:Unlocks machine leaing basics without advanced mathematics ― no calculus or matrix algebra required.Demonstrates each concept with R code and real-world data for a deep understanding ― no prior programming knowledge is needed.Bridges the gap between theory and real-world applications with hands-on interactive projects and tutorials in every chapter, guided with hints and solutions.Encourages continuous leaing with chapter-specific online resources―video tutorials, R-scripts, blog posts, and an online community.Supports instructors through a companion website that includes customizable materials such as slides and syllabi to fit their specific course needs.
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