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Applied Predictive Analytics Dean Abbott, ISBN-13: 978-1118727966
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"Applied Predictive Analytics" by Dean Abbott focuses on the practical application of predictive analytics techniques in various industries to drive decision-making and improve outcomes. The book covers key concepts such as data preparation, model building, and evaluation, along with real-world examples that illustrate how predictive models can be implemented to solve business problems. Abbott emphasizes the importance of understanding the underlying data and provides insights into tools and strategies to effectively leverage advanced analytics for better predictions and strategic advantage.
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Title: Applied Predictive Analytics
Author: Dean Abbott
ISBN-13: 978-1118727966
Publisher: Wiley
Publication Date: 2014
Page Count: 368
Language: English
Description: This book focuses on predictive analytics, providing practical guidance for implementing analytics in various fields. It covers foundational concepts, methodologies, and real-world applications to help readers understand and apply predictive modeling techniques effectively.
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"Applied Predictive Analytics" by Dean Abbott offers a comprehensive exploration of predictive modeling techniques and their real-world applications. The book seamlessly combines theoretical concepts with practical insights, making it accessible for both beginners and experienced practitioners. Through detailed case studies and clear explanations, Abbott emphasizes the importance of data quality and model selection, providing readers with the tools necessary to implement predictive analytics effectively. Ultimately, this work serves as both a valuable reference and a guide for those looking to harness the power of analytics in decision-making processes across various industries.
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