(Black & White version) Fundamentals of Business was created for Virginia Tech's MGT 1104 Foundations of Business through a collaboration between the Pamplin College of Business and Virginia Tech Libraries. This book is freely available at: http://hdl.handle.net/10919/70961 It is licensed with a Creative Commons-NonCommercial ShareAlike 3.0 license.

The Business of Sports, Second Edition is a comprehensive collection of readings that focus on the multibillion-dollar sports industry and the dilemmas faced by todays sports business leaders. It contains a dynamic set of readings to provide a complete overview of major sports business issues. The Second Edition covers professional, Olympic, and collegiate sports, and highlights the major issues that impact each of these broad categories. The Second Edition continue to provide insight from a variety of stakeholders in the industry and cover the major business disciplines of management, marketing, finance, information technology, accounting, ethics and law. In addition, it features concise introductions, targeted discussion questions, and graphs and tables to convey relevant financial data and other statistics discussed. This book is designed for current and future sports business leaders as well as those interested in the inner-workings of the industry.

The long-awaited update of the classic guide to outperforming the competition using Herrmann International's trademark Whole Brain Methodology Packed with new research, updated examples, and more actionable content, The Whole Brain Business Book outlines four basic thinking styles--administrator, talker, problem-solver, dreamer--corresponding to the four quadrants of the brain and explains that many are dominated by only one quadrant. By getting out of the "brain rut" and channeling all four quadrants, business people and organizations can become more flexible, creative, and competitive. Herrmann-Nehdi uses her extensive research and experience working with her father and expert practitioners across the globe to highlight new research developments, replace outdated information, incorporate new stories and real-world examples while building on the core applications of The Whole Brain Business Book.

Business Strategy Essentials You Always Wanted To Know prepares new managers and leaders with the building blocks of business strategy. You will learn how to define strategy, different levels of strategy for the business versus departments, and how to plan tactics to implement those strategies. You are given tools to assist you with some of the more challenging aspects of strategy such as environmental scanning, SWOT analysis, and strategy analysis. After you have learned how to execute some of these strategies, you will learn what organization structures fit best with specific strategies. These timeless elements of strategy will provide you the fundamentals with a 21st century point of view. Business Strategy Essentials is part of the Management Essentials series that helps working professionals moving into management roles. The series addresses every aspect of business from HR to finance, marketing, and operations. Each book includes fundamentals, important concepts, and well-known principles, as well as practical applications of the subject matter.

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Business Result is a six-level business English course that gives students the communication skills they need for immediate use at work.