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Management: Challenges for Tomorrow's Leaders (with InfoTrac 1-Semester)
Management: Challenges for Tomorrow's Leaders (with InfoTrac 1-Semester)

In the Fifth Edition of this nationally acclaimed book, students learn the management skills and competencies that will enable them to meet the challenges they'll experience as leaders in tomorrow's dynamic, rapidly changing business environment. The authors focus on key management principles and how they apply in real business...

Machine Learning and Data Mining
Machine Learning and Data Mining
The book describes the basics of machine learning principles and algorithms that are used in data mining and is intended for students of computer science, researchers who need to adapt various algorithms for particular data mining tasks, and for education of sophisticated users of machine learning and data mining tools.

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How to Pass Data Interpretation Tests: Unbeatable Practice for Numerical and Quantitative Reasoning and Problem Solving Tests (Testing Series)
How to Pass Data Interpretation Tests: Unbeatable Practice for Numerical and Quantitative Reasoning and Problem Solving Tests (Testing Series)
This book provides everything you need for a successful programme of revision or review. It contains 330 practice questions with answers and explanations, advice on how to show your true potential and signposts to sources of further practice material.

Tests of data interpretation are fast
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The Princeton Companion to Mathematics
The Princeton Companion to Mathematics

This is a one-of-a-kind reference for anyone with a serious interest in mathematics. Edited by Timothy Gowers, a recipient of the Fields Medal, it presents nearly two hundred entries, written especially for this book by some of the world's leading mathematicians, that introduce basic mathematical tools and vocabulary; trace the...

Topics In Probability
Topics In Probability
In this monograph we treat some topics that have been of some importance and interest in probability theory. These include, in particular, analytic characteristic functions, the moment problem, infinitely divisible and self-decomposable distributions.

Recent research in probability has been concerned with applications such...

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty (Studies in Computational Intelligence)
Some information and knowledge are usually represented by human language like “about 100km”, “approximately 39 ?C”, “roughly 80kg”, “low speed”, “middle age”, and “big size”. Perhaps some people think that they are subjective probability or they are fuzziness....
Next Generation Excel: Modeling in Excel for Analysts and MBAs (Wiley Finance)
Next Generation Excel: Modeling in Excel for Analysts and MBAs (Wiley Finance)

Rutgers professor, Dr. Isaac Gottlieb demonstrates an array of advanced financial and accounting functions in this practical Excel modeling book. He shows how to quickly create models that deliver accurate, relevant information related to efficiency, forecasting, and a host of other business and reporting issues. This book describes how Excel...

Time Series Data Analysis Using EViews (Statistics in Practice)
Time Series Data Analysis Using EViews (Statistics in Practice)

Do you want to recognize the most suitable models for analysis of statistical data sets?

This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and...

The Growing Business Handbook: Inspiration and Advice from Successful Entrepreneurs and Fast Growing UK Companies
The Growing Business Handbook: Inspiration and Advice from Successful Entrepreneurs and Fast Growing UK Companies
In The Growing Business Handbook, British entrepreneurs and advisors share their experiences, offering comprehensive insight into the challenges of building a high-growth venture in today's European economy. With contributions from a series of specialists in finance, HR, marketing, innovation, and IT, as well as help on...
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

Essentials of Investments (McGraw-Hill / Irwin Series in Finance, Insurance, and Real Estate)
Essentials of Investments (McGraw-Hill / Irwin Series in Finance, Insurance, and Real Estate)

The market leading "Essentials of Investments, 7e" by Bodie, Kane and Marcus is an undergraduate textbook on investment analysis, presenting the practical applications of investment theory to convey insights of practical value. The authors have eliminated unnecessary mathematical detail and concentrate on the intuition and insights...

Data Mining Applications with R
Data Mining Applications with R

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including...

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