Grace believed she went from losing it all to having it all. In a desperate attempt to put her life back together, Grace, divorced and jobless, leaves Tucson to return to Chicago-a place she never planned to call home again. She also never planned to fall for Benjamin Hayward. Drawn into the fairytale existence of his power and wealth, Grace is unable to see what her family and friends see, and ignores the warning signs of Dr. Benjamin Hayward's dark side. Benjamin's secrets-the death of his mentally ill wife and the disappearance of his daughter-push Grace into an abyss deeper than the one that brought her home in the first place, and she risks losing even more. Pieces of Grace is a complicated story of relationships confused by undercurrents of mental illness. Readers find themselves hoping family and friends can carry Grace through her most difficult moments.
The First World War marked the end point of a process of German globalization that began in the 1870s. Learning Empire looks at German worldwide entanglements to recast how we interpret German imperialism, the origins of the First World War, and the rise of Nazism.
The Congressional Record is the official record of the proceedings and debates of the United States Congress. It is published daily when Congress is in session. The Congressional Record began publication in 1873. Debates for sessions prior to 1873 are recorded in The Debates and Proceedings in the Congress of the United States (1789-1824), the Register of Debates in Congress (1824-1837), and the Congressional Globe (1833-1873)
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 concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
A sociotechnical investigation of ubiquitous computing as a research enterprise and as a lived reality. Ubiquitous computing (or ubicomp) is the label for a “third wave” of computing technologies. Following the eras of the mainframe computer and the desktop PC, ubicomp is characterized by small and powerful computing devices that are worn, carried, or embedded in the world around us. The ubicomp research agenda originated at Xerox PARC in the late 1980s; these days, some form of that vision is a reality for the millions of users of Internet-enabled phones, GPS devices, wireless networks, and "smart" domestic appliances. In Divining a Digital Future, computer scientist Paul Dourish and cultural anthropologist Genevieve Bell explore the vision that has driven the ubiquitous computing research program and the contemporary practices that have emerged—both the motivating mythology and the everyday messiness of lived experience. Reflecting the interdisciplinary nature of the authors' collaboration, the book takes seriously the need to understand ubicomp not only technically but also culturally, socially, politically, and economically. Dourish and Bell map the terrain of contemporary ubiquitous computing, in the research community and in daily life; explore dominant narratives in ubicomp around such topics as infrastructure, mobility, privacy, and domesticity; and suggest directions for future investigation, particularly with respect to methodology and conceptual foundations.
"The History of Wyoming" explains detailed information of territorial and state developments. This second edition also includes the post-World War II chapters containing discussion about the economy, society, culture and politics not included on the previous edition.
