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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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An insightful look at the implementation of advanced analytics on human capital Human capital analytics, also known as human resources;
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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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-based management as input for human decisions. The book includes: * An overview of all relevant phases: design, prepare, explore, model;
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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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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to;
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This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to;
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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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and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge;
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and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge;
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of healthcare, marketing, and other business domains Who This Book Is For This book is for those with a mathematical/statistics background who wish;
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practical demonstration of discovering data for sales, human resources, and more using Qlik Sense Create dynamic dashboards for business;
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. This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for;
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Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;
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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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methods for healthcare quality improvement. Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use;
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This business analytics (BA) text discusses the models based on fact-based data to measure past busi;...
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Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;
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Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;
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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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have learned in this book Book DescriptionPredictive analytics discovers hidden patterns from structured and unstructured data for automated;
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serve a model's predictions as a web application Who this book is forThis book is for data analysts, data scientists, data engineers, and Python;
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solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive;
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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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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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. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses;
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them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for;
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