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Mathematical Underpinnings of Analytics

Analytics is the application of mathematical and statistical concepts to large data sets so as to distil insights that offer the owner some;

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HR Analytics

This book is not intended to teach mathematical techniques. It is intended for a non-mathematical audience.This book is designed for those;

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Cycle Analytics for Traders +

in this book, but the emphasis is on simplicity rather than mathematical purity. In particular, the solutions use a pragmatic approach to attain;

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Data Analytics

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis;

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Even You Can Learn Statistics and Analytics

and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because;

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Data Analytics: Models and Algorithms for Intelligent Data Analysis

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis;

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Statistical Modelling and Sports Business Analytics

entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and;

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Statistical Modelling and Sports Business Analytics

entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and;

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Luck, Logic, and White Lies

Features Provides a uniquely historical perspective on the mathematical underpinnings of a comprehensive list of games;

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Luck, Logic, and White Lies

Features Provides a uniquely historical perspective on the mathematical underpinnings of a comprehensive list of games;

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Big Data Analytics for Cyber-Physical Systems

interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader;

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Fundamentals of Machine Learning for Predictive Data Analytics

, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples;

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Philosophie der Mathematik

This work is an introduction to the philosophical problems and underpinnings of mathematical thinking, teaching, and learning. It includes;

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First Steps in SAP Predictive Analytics

Curious about how to leverage SAP Predictive Analytics (SAP PA) to effectively mine data and unearth;...

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Mathematical Foundations of Big Data Analytics

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant;

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Data Analytics

pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference;

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An Introduction to the Mathematics of Map Projections

Originally published in 1931 as a guide for mathematically-minded geography students, this book addresses the mathematical theories;

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Fuzzy Sets-Based Methods and Techniques for Modern Analytics

The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern;

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Mathematical Statistics

Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors;

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Systems Performance Modeling

This book describes methods to improve software performance and safety using advanced mathematical and computational analytics. The main;

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Using Analytics To Detect Possible Fraud

advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes;

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Posterior Analytics

species of such instruction. The mathematical sciences and all other speculative disciplines are acquired in this way, and so are the two forms;

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Data Assimilation

This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and;

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Algorithms for Data Science

analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms;

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Algorithms for Data Science

analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms;

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Supply Chain Analytics and Modelling

of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and;

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Supply Chain Analytics and Modelling

of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and;

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