Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R van Galit Shmueli, Peter C. Bruce, Peter Gedeck is een Engelstalig gedrukt boek. Deze titel is geschikt voor professionals.
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning -also known as data mining or data analytics- is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R; An expanded chapter focused on discussion of deep learning techniques; A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning; A new chapter on responsible data science; Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students; A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques; End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented;
Inhoudelijk sluit dit boek aan bij onderwerpen als Mathematics, Electronics and communications engineering, MATHEMATICS / General.