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. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses;
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Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide;
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Analytics, analytics expert Dr. Dursun Delen illuminates the field's state-of-the-art methods, offering holistic insight for both professionals and;
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Make sense of your data and predict the unpredictable About This Book * A unique book that centers around develop six key practical;
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. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging;
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illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book;
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illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book;
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This volume brings together research and system designs that address the scientific basis and the practical systems design issues that;
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This volume brings together research and system designs that address the scientific basis and the practical systems design issues that;
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primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing;
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and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;
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visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python;
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fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and;
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fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and;
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of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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? In this book written for users and analysts, readers will explore the foundations of SAP Predictive Analytics. Review the architectural;
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Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning;
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for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated;
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, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples;
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enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to;
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reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine;
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based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling * Written for senior financial;
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Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries;
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The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus;
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simple 5 step process for implementing algorithms that can be used for performing predictive analyticsIncludes practical use cases and;
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and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;
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