Umd 967 Sub Indo
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Fintech with Artificial Intelligence, Big Data, and Blockchain
Author: Paul Moon Sub Choi
language: en
Publisher: Springer Nature
Release Date: 2021-03-08
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
Rule Makers, Rule Breakers
A celebrated social psychologist offers a radical new perspective on cultural differences that reveals why some countries, cultures, and individuals take rules more seriously and how following the rules influences the way we think and act. In Rule Makers, Rule Breakers, Michele Gelfand, “an engaging writer with intellectual range” (The New York Times Book Review), takes us on an epic journey through human cultures, offering a startling new view of the world and ourselves. With a mix of brilliantly conceived studies and surprising on-the-ground discoveries, she shows that much of the diversity in the way we think and act derives from a key difference—how tightly or loosely we adhere to social norms. Just as DNA affects everything from eye color to height, our tight-loose social coding influences much of what we do. Why are clocks in Germany so accurate while those in Brazil are frequently wrong? Why do New Zealand’s women have the highest number of sexual partners? Why are red and blue states really so divided? Why was the Daimler-Chrysler merger ill-fated from the start? Why is the driver of a Jaguar more likely to run a red light than the driver of a plumber’s van? Why does one spouse prize running a tight ship while the other refuses to sweat the small stuff? In search of a common answer, Gelfand spent two decades conducting research in more than fifty countries. Across all age groups, family variations, social classes, businesses, states, and nationalities, she has identified a primal pattern that can trigger cooperation or conflict. Her fascinating conclusion: behavior is highly influenced by the perception of threat. “A useful and engaging take on human behavior” (Kirkus Reviews) with an approach that is consistently riveting, Rule Makers, Ruler Breakers thrusts many of the puzzling attitudes and actions we observe into sudden and surprising clarity.
Statistical Machine Translation
Author: Philipp Koehn
language: en
Publisher: Cambridge University Press
Release Date: 2010
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.