Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Machine Learning for Business Analytics
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life ca...
Business to Business Electronic Commerce
"The rapid commercialization of the Internet and success of online direct marketing led to the burgeoning field of business-to-business e-commerce, a growing industry analyzed with the most recent research developments and successful implementation strategies in this business volume. E-commerce environments, supply chain management issues, and value chain networks are explored with respect to process, research, and electronic tendering. More complex discussions of classification schemes, manufacturing connectedness, and structuration theory provide the academic dimension of the practical business challenges presented."
Tap
How the smartphone can become a personal concierge (not a stalker) in the mobile marketing revolution of smarter companies, value-seeking consumers, and curated offers. Consumers create a data trail by tapping their phones; businesses can tap into this trail to harness the power of the more than three trillion dollar mobile economy. According to Anindya Ghose, a global authority on the mobile economy, this two-way exchange can benefit both customers and businesses. In Tap, Ghose welcomes us to the mobile economy of smartphones, smarter companies, and value-seeking consumers. Drawing on his extensive research in the United States, Europe, and Asia, and on a variety of real-world examples from...
History of the University of Connecticut School of Business Administration
The School of Business Administration at the University of Connecticut was created in 1940 at about the same time that the university changed its name to the University of Connecticut. This book chronicles the School’s journey to excellence over its first 75 years of existence. The School operates degree programs at four major locations. The School has grown from a faculty of 5 in 1940 to 112 in 2015. Starting with just an undergraduate program in 1940 the offerings of the school now include multiple MBA and MS programs as well as a Ph.D. program. Recognition of the quality of the School’s programs is represented by its AACSB accreditation and its rankings. In the most recent year its MBA program has been ranked in the Top 50 among all programs and the Top 25 among all public programs. Its MS in Accounting Program recently was ranked as number 3 in the country.
Modeling Online Auctions
Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors...
Data Mining for Business Intelligence
Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to the development of successful business models. Featuring XLMiner, the Microsoft Office Excel a...
The Sharing Economy
“An insightful guide to the forces shaping our economy” that explores the far-ranging implications of the shift to crowd-based capitalism—with case studies on Uber, Airbnb, and others (Hal Varian, Chief Economist at Google) Sharing isn’t new. Giving someone a ride, having a guest in your spare room, running errands for someone, participating in a supper club—these are not revolutionary concepts. What is new, in the “sharing economy,” is that you are not helping a friend for free; you are providing these services to a stranger for money. In this book, Arun Sundararajan, an expert on the sharing economy, explains the transition to what he describes as “crowd-based capitalism”...
Microeconomics
Microeconomics is the most engaging introductory economics resource available to students today. Using real businesses examples to show how managers use economics to make real decisions every day, the subject is made relevant and meaningful. Each chapter of the text opens with a case study featuring a real business or real business situation, refers to the study throughout the chapter, and concludes with An Inside Look—a news article format which illustrates how a key principle covered in the chapter relates to real business situations or was used by a real company to make a real business decision. Solved problems in every chapter motivate learners to confidently connect with the theory to solve economic problems and analyse current economic events.
Big Data and Analytics
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
Transformation in Times of Crisis
Winner of the International Business Book of the Year Award 2021 Winner of the Silver Stevie for Best Business Book “I wish I had written this book!” – Philip Kotler, Father of Modern Marketing This urgent and timely book by a visionary business practitioner, Nitin Rakesh, CEO, Mphasis and award-winning academic, Jerry Wind, Lauder Professor Emeritus, Wharton bridges the worlds of industry and academia to bring you the knowledge that can help your business thrive even in a crisis. This book is a gamechanger for businesses, large and small, enabling them to customize and implement a winning strategy by using the book’s eight principles and tools to seek out opportunities for long-term...
