Description: Format Ebook: Epub-Pdf version Machine Learning for Business AnalyticsMachine 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 RapidMiner 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 textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
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Author: Amit V. Deokar, Nitin R. Patel, Peter C. Bruce, Galit Shmueli
Publication Name: Machine Learning for Business Analytics : concepts, Techniques and Applications in Rapidminer
Format: eBook
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2023
Type: Textbook
