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Deep Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concep...
Memoirs of My Services in the World War, 1917-1918
George C. Marshall was an American military leader, Chief of Staff of the Army, Secretary of State, and the third Secretary of Defense. Once noted as the "organizer of victory" by Winston Churchill for his leadership of the Allied victory in World War II, Marshall served as the United States Army Chief of Staff during the war and as the chief military adviser to President Franklin D. Roosevelt. As Secretary of State, his name was given to the Marshall Plan, for which he was awarded the Nobel Peace Prize in 1953. He drafted this manuscript while he was in Washington, D.C., between 1919 and 1924 as aide-de-camp to General of the Armies John J. Pershing. However, given the growing bitterness of the "memoirs wars" of the period he decided against publication, and the draft sat unused until the 1970s when Marshall's step-daughter and her husband decided to publish it.
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
The Social and Economic Impact of Covid–19: Rapid Transformation of the 21st Century Society
The contributions in this book demonstrate that the Covid-19 pandemic has led to negative socioeconomic impacts, put a tremendous strain on social institutions in many countries, and changed the lives of people around the world. Society, economy, business companies, management structures of companies, consumption habits of society, education, and health sector have been significantly affected by the Covid-19 pandemic. Some of these effects are thought to be permanent even after the pandemic subsides. It is obvious that the process of digitization will continue in making a consumer’s life more comfortable and safer. Some researchers estimate that approximately 60 percent of companies plan to let their employees continue working remotely from home offices in the post-pandemic period. Many experts emphasize that online shopping, which increased rapidly during the pandemic period, will continue to dominate after the pandemic. Therefore, the social effects of the Covid-19 pandemic will be the subject of many academic studies today and in the future.
Artificial Intelligence in Medical Imaging
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relat...
Integrated approaches to health
One Health addresses health challenges arising from the intertwined spheres of humans, animals and ecosystems. This handbook is the product of an interdisciplinary effort to provide science-based guidance for the evaluation of One Health and other integrated approaches to health. It guides the reader through a systems approach and framework to evaluate such approaches in a standardised way. It provides an overview of concepts and metrics from health and life sciences, social sciences, economics, and ecology that are relevant for the evaluation of the processes involved, as well as the characterisation of expected and unexpected outcomes of One Health initiatives. Finally, the handbook provides guidance and practical protocols to help plan and implement evaluations in order to generate new insights and provide meaningful information about the value of One Health. The handbook is intended for practitioners, researchers, evaluators as well as funders of integrated approaches to health and beyond.
Sepsis Management in Resource-limited Settings
This book is open access under a CC BY 4.0 license. It constitutes a unique source of knowledge and guidance for all healthcare workers who care for patients with sepsis and septic shock in resource-limited settings. More than eighty percent of the worldwide deaths related to sepsis occur in resource-limited settings in low and middle-income countries. Current international sepsis guidelines cannot be implemented without adaptations towards these settings, mainly because of the difference in local resources and a different spectrum of infectious diseases causing sepsis. This prompted members of the Global Intensive Care working group of the European Society of Intensive Care Medicine (ESICM)...
