German Culture, Politics, and Literature Into the Twenty-first Century


Book Description

This volume features sixteen thought-provoking essays by renowned international experts on German society, culture, and politics that, together, provide a comprehensive study of Germany's postunification process of "normalization." Essays ranging across a variety of disciplines including politics, foreign policy, economics, literature, architecture, and film examine how since 1990 the often contested concept of normalization has become crucial to Germany's self-understanding. Despite the apparent emergence of a "new" Germany, the essays demonstrate that normalization is still in question, and that perennial concerns -- notably the Nazi past and the legacy of the GDR -- remain central to political and cultural discourses and affect the country's efforts to deal with the new challenges of globalization and the instability and polarization it brings. This is the first major study in English or German of the impact of the normalization debate across the range of cultural, political, economic, intellectual, and historical discourses. Contributors: Stephen Brockmann, Jeremy Leaman, Sebastian Harnisch and Kerry Longhurst, Lothar Probst, Simon Ward, Anna Saunders, Annette Seidel Arpaci, Chris Homewood, Andrew Plowman, Helmut Schmitz, Karoline Von Oppen, William Collins, Donahue, Katharine Schödel, Stuart Taberner, Paul Cooke Stuart Taberner is Professor of Contemporary German Literature, Culture, and Society and Paul Cooke is Senior Lecturer in German Studies, both at the University of Leeds.




Self-Normalized Processes


Book Description

Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear nature of these processes, the theory experienced a long period of slow development. In recent years there have been a number of important advances in the theory and applications of self-normalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that self-normalized processes are approximate pivots for statistical inference. The present volume covers recent developments in the area, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales. This is the first book that systematically treats the theory and applications of self-normalization.




Normalization and "outsiderhood"


Book Description

This volume presents an illuminating analysis of the ways in which normalization processes and practices operate in a welfare state in an age of neoliberalism. This informative book problematizes the meaning of the phrase 'normalization processes and prac




The Limits of Normalization


Book Description

This article contributes to the research on the normalization of European Union (EU) studies by presenting an analysis and assessment of the EU-US comparative literature. Using an original and comprehensive data set of 104 publications, it shows not only that these comparisons have grown considerably since the early 1990s, but also and more interestingly that EU-US scholarship itself has increasingly conformed to mainstream political science by becoming more diverse, causal in nature and empirically inclusive. Unlike other accounts of normalization, however, it is argued here that these transformations are only partly desirable, and that a better direction for the future is to develop EU-US research as a distinct programme within EU studies, centred on a 'dual mission' - theoretical and empirical - that accepts political science's scope and explanatory objectives, but at the same time sees the two cases as worthy of being studied in isolation owing to their importance and the political value of their comparison.




A Quarter-century of Normalization and Social Role Valorization


Book Description

During the late 1960s, Normalization and Social Role Valorization (SRV) enabled the widespread emergence of community residential options and then provided the philosophical climate within which educational integration, supported employment, and community participation were able to take firm root. This book is unique in tracing the evolution and impact of Normalization and SRV over the last quarter-century, with many of the chapter authors personally involved in a still-evolving international movement. Published in English.




Normalization of U.S.-China Relations


Book Description

Relations between China and the United States have been of central importance to both countries over the past half century. Offers the first multinational, multi archival review of the history of Chinese-American conflict and cooperation in the 1970s.




The Normalization of Saudi Law


Book Description

"At the turn of the 20th century, a minor principality with a kingly ambition emerged from the victorious occupation of the strategic town of Riyadh by a small group of warriors led by a young man, 'Abd al-'Aziz ibn 'Abd al-Rahman Al Faysal Al Sa'ud. In the qualification of the city-oasis - riyad in Arabic is plural for rawda, green pasture, meadow, orchard - the word 'strategic' is retrospective. No one paid attention to yet another raid in the middle of the Arabian desert - a ghazwa, the tribal conquest of time immemorial. The raiders were local protagonists, according to Saudi lore some sixty members of the followers of ibn Saud, as he became known in the West many years later, battling their Rashid rivals whom they dislodged from the oasis and its surroundings. It seemed then to be the continuation of a small, insignificant turf war between tribal protagonists who had been at it for at least two centuries"--




Against Normalization


Book Description

DIVA literary study of South African cultural changes since the end of apartheid from 1980 to present./div




Hands-On Machine Learning on Google Cloud Platform


Book Description

Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems. What you will learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google’s pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications Who this book is for This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy




Giving Voice to Values


Book Description

How can you effectively stand up for your values when pressured by your boss, customers, or shareholders to do the opposite? Drawing on actual business experiences as well as on social science research, Babson College business educator and consultant Mary Gentile challenges the assumptions about business ethics at companies and business schools. She gives business leaders, managers, and students the tools not just to recognize what is right, but also to ensure that the right things happen. The book is inspired by a program Gentile launched at the Aspen Institute with Yale School of Management, and now housed at Babson College, with pilot programs in over one hundred schools and organizations, including INSEAD and MIT Sloan School of Management. She explains why past attempts at preparing business leaders to act ethically too often failed, arguing that the issue isn’t distinguishing what is right or wrong, but knowing how to act on your values despite opposing pressure. Through research-based advice, practical exercises, and scripts for handling a wide range of ethical dilemmas, Gentile empowers business leaders with the skills to voice and act on their values, and align their professional path with their principles. Giving Voice to Values is an engaging, innovative, and useful guide that is essential reading for anyone in business.