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Probabilistic Machine Learning
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Machine Learning
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developm...
Social Economics
Economists assume that people make choices based on their preferences and their budget constraints. The preferences and values of others play no role in the standard economic model. This feature has been sharply criticized by other social scientists, who believe that the choices people make are also conditioned by social and cultural forces. Economists, meanwhile, are not satisfied with standard sociological and anthropological concepts and explanations because they are not embedded in a testable, analytic framework. In this book, Gary Becker and Kevin Murphy provide such a framework by including the social environment along with standard goods and services in their utility functions. These ...
Machine Learning, second edition
The second and expanded edition of a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, including deep learning, viewed through the lens of probabilistic modeling and Bayesian decision theory. This second edition has been substantially expanded and revised, incorporating many recent developments in the field. It has new chapters on linear algebra, optimization, implicit generative models, reinforcement learning, and causality; and other chapters on such topics as variational inference and graphical models have been significantly updated. The software for the book (hosted on github) is now implemented in Python rather than MATLAB, and uses state-of-the-art libraries including as scikit-learn, Tensorflow 2, and JAX.
Quinoa
Quinoa is an ancient grain that has grown in popularity in recent years. It has been known as a good source of both protein and fiber. As the demand for quinoa increases a comprehensive and up-to-date reference on the biology and production of the crop is essential. Quinoa: Improvement and Sustainable Production brings together authors from around the world to provide a complete assessment of the current state of global quinoa research and production. Topics covered include quinoa history and culture, genomics and breeding, agronomy, nutrition, marketing, and end-uses. The book focuses in particular on the emerging role of quinoa in providing increased food security to smallholder farmers and communities throughout the world. Quinoa will interest quinoa researchers, producers, crop scientists, agronomists, and plant geneticists, as well as advanced students working with this important grain.
Validity Generalization
This volume presents the first wide-ranging critical review of validity generalization (VG)--a method that has dominated the field since the publication of Schmidt and Hunter's (1977) paper "Development of a General Solution to the Problem of Validity Generalization." This paper and the work that followed had a profound impact on the science and practice of applied psychology. The research suggests that fundamental relationships among tests and criteria, and the constructs they represent are simpler and more regular than they appear. Looking at the history of the VG model and its impact on personnel psychology, top scholars and leading researchers of the field review the accomplishments of the model, as well as the continuing controversies. Several chapters significantly extend the maximum likelihood estimation with existing models for meta analysis and VG. Reviewing 25 years of progress in the field, this volume shows how the model can be extended and applied to new problems and domains. This book will be important to researchers and graduate students in the areas of industrial organizational psychology and statistics.
Inside the Bataan Death March
For two weeks during the spring of 1942, the Bataan Death March--one of the most widely condemned atrocities of World War II--unfolded. The prevailing interpretation of this event is simple: American prisoners of war suffered cruel treatment at the hands of their Japanese captors while Filipinos, sympathetic to the Americans, looked on. Most survivors of the march wrote about their experiences decades after the war and a number of factors distorted their accounts. The crucial aspect of memory is central to this study--how it is constructed, by whom and for what purpose. This book questions the prevailing interpretation, reconsiders the actions of all three groups in their cultural contexts and suggests a far greater complexity. Among the conclusions is that violence on the march was largely the result of a clash of cultures--undisciplined, individualistic Americans encountered Japanese who valued order and form, while Filipinos were active, even ambitious, participants in the drama.
First Login
Time in a capsule.People seek out escapes through countless avenues, but when the product is extra time to live--within an emerging digital world--everyone's a customer. Game capsules transport players to a new world where time is perceived far more slowly. Why study for eight hours in the real world when you could get it all done in a single hour? Why work slowly? Why relax that way? Following this mentality, Chronicle has become more than a game for governments, businesses, and players alike. When Corbin Landrick, an unlucky but hardworking guy, finally gets his hands on a ChronPod, he jumps headfirst into his second life. While he struggles to plant both feet firmly on the ground in a world of magic and monsters, he finds out that virtual reality is what you make of it.
Colonial Revival Maine
Colonial Revival Maine provides an account of how this interest in the classical influences of colonial- and federal-era buildings engaged the imagination of a group of architects and their draftsmen in the late nineteenth century. Together, these designers created the charming streetscapes and bucolic retreats that today dot the Maine coast."
Chicago Price Theory
An authoritative textbook based on the legendary economics course taught at the University of Chicago Price theory is a powerful analytical toolkit for measuring, explaining, and predicting human behavior in the marketplace. This incisive textbook provides an essential introduction to the subject, offering a diverse array of practical methods that empower students to learn by doing. Based on Economics 301, the legendary PhD course taught at the University of Chicago, the book emphasizes the importance of applying price theory in order to master its concepts. Chicago Price Theory features immersive chapter-length examples such as addictive goods, urban-property pricing, the consequences of pr...
