Showing results for "wallace v schmidt"
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Communicating Globally
Intercultural Communication and International Business
2007
EN
Communicating Globally: Intercultural Communication and International Business uniquely integrates the theory and skills of intercultural communication with the practices of multinational organizations and international business. Authors Wallace V. Schmidt, Roger N. Conaway, Susan S. Easton, and William J. Wardrope provide students with a cultural general awareness of diverse world views, valuable insights on understanding and overcoming cultural differences, and a clear p...
The Digital Transformation of Product Formulation
Concepts, Challenges, and Applications for Accelerated Innovation
2024
EN
In competitive manufacturing industries, organizations embrace product development as a continuous investment strategy since both market share and profit margin stand to benefit. Formulating new or improved products has traditionally involved lengthy and expensive experimentation in laboratory or pilot plant settings. However, recent advancements in areas from data acquisition to analytics are synergizing to transform workflows and increase the pace of research and innovation. The ...
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2010
EN
The revolutionary study of how the place where we grew up shapes the way we think, feel, and act-- with new dimensions and perspectivesBased on research conducted in more than seventy countries over a forty-year span, Cultures and Organizations examines what drives people apart—when cooperation is so clearly in everyone’s interest. With major new contributions from Michael Minkov’s analysis of data from the World Values Survey, as well as an account of the...
Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers
2015
EN
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques.Mariette Awad and Rah...
2004
EN
The landmark study of cultural differences across 70 nations, Cultures and Organizations helps readers look at how they think—and how they fail to think—as members of groups. Based on decades of painstaking field research, this new edition features the latest scientific results published in Geert Hofstede’s scholarly work Culture’s Consequences, Second Edition. Original in thought and profoundly important, Cultures and Organizations offers vital knowledge and insight on i...
Reinforcement Learning from Human Feedback
LLM alignment and post-training
2026
EN
Get the eBook free when you register your print book at Manning."A masterful synthesis of the field’s intellectual roots and its practical tools.”—Saurabh Sawant, MicrosoftReinforcement Learning from Human Feedback: LLM alignment and post-training helps you understand how modern AI models can be adapted to better match the needs and expectations of their users. Rather than surveying the vast field of reinforcement learning, ...
The Politics of Crisis Management
Public Leadership under Pressure
2016
EN
Crisis management has become a defining feature of contemporary governance. In times of crisis, communities and members of organizations expect their leaders to minimize the impact, while critics and bureaucratic competitors make use of social media to blame incumbent rulers and their policies. In this extreme environment, policymakers must somehow establish a sense of normality, and foster collective learning from the crisis experience. In the new edition of this uniquely comprehensive an...
Machine Learning for Materials Discovery
Numerical Recipes and Practical Applications
2024
EN
Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect—each method presented herein ...
2022
EN
The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. Th...
2009
EN
Integrated Design of Multiscale, Multifunctional Materials and Products is the first of its type to consider not only design of materials, but concurrent design of materials and products. In other words, materials are not just selected on the basis of properties, but the composition and/or microstructure iw designed to satisfy specific ranged sets of performance requirements. This book presents the motivation for pursuing concurrent design of materials and products, thoroughly discussing t...
Flip the System
Changing Education from the Ground Up
2015
EN
Education is threatened on a global scale by forces of neoliberalism, through high stakes accountability, privatization and a destructive language of learning. In all respects, a GERM (Global Education Reform Movement) has erupted from international benchmark rankings such as PISA, TIMMS and PIRL, causing inequity, narrowing of the curriculum and teacher deprofessionalization on a truly global scale.In this book, teachers from around the world and other educational experts such as ...
Artificial Intelligence for Science
A Deep Learning Revolution
2023
EN
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak ...











