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Predictive HR Analytics

HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns;

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Predictive HR Analytics

HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Predictive Analytics and Data Mining

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand;

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Business Analytics

complete Excel 2016 integration. (It is also compatible with Excel 2013, 2010, and 2007.) The text devotes three online chapters to advanced;

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Business Analytics, Volume II

, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence;

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Modeling Techniques in Predictive Analytics

, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and;

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Spreadsheet Modeling and Decision Analysis

Master key spreadsheet and business analytics skills with SPREADSHEET MODELING AND DECISION ANALYSIS: A PRACTICAL INTRODUCTION TO BUSINESS;

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Data Mining for Business Analytics

, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who;

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Data Mining for Business Analytics

, recommender systems, clustering, text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl;

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Fundamentals of Predictive Analytics with JMP, Second Edition

on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;

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Fundamentals of Predictive Analytics with JMP, Second Edition

on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;

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Data Mining and Predictive Analysis

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime;

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Text Analytics

topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media;

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Data Science

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;

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Data Mining & Predictive Analytics

mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors;

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Fundamentals of HR Analytics

HR skillsets, the book makes understanding and engaging with data analytics possible for professionals at all levels. Leveraging key;

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Data-Driven HR

Data-Driven HR: Creating Value with HR Metrics and HR Analytics Which job applicants have hidden talents? Which job roles are most prone;

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Text Analytics for Business Decisions

later Uses Excel and R for datasets in case studies and exercises Features the CRISP-DM data mining standard with early chapters for;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Advanced Data Mining and Applications

submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender;

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Predictive Analytics, Data Mining and Big Data

Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;

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A General Introduction to Data Analytics

book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and;

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Mastering Predictive Analytics with scikit-learn and TensorFlow

analytics. By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis. What you;

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Descriptive Data Mining

This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human;

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