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Probabilistic Machine Learning
  • Language: en
  • Pages: 858

Probabilistic Machine Learning

  • Type: Book
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  • Published: 2022-03-01
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  • Publisher: MIT Press

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...

Measuring the Gains from Medical Research
  • Language: en
  • Pages: 270

Measuring the Gains from Medical Research

In 1998, health expenditures in the United States accounted for 12.9% of national income-the highest share of income devoted to health in the developed world. The United States also spends more on medical research than any other country-in 2000, the federal government dedicated $18.4 billion to it, compared with only $3.7 billion for the entire European Union. In this book, leading health economists ask whether we are getting our money's worth. From an economic perspective, they find, the answer is a resounding "yes": in fact, considering the extraordinary value of improvements to health, we may even be spending too little on medical research. The evidence these papers present and the conclu...

Chicago Price Theory
  • Language: en
  • Pages: 248

Chicago Price Theory

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.

Social Economics
  • Language: en
  • Pages: 180

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
  • Language: en
  • Pages: 1102

Machine Learning

  • Type: Book
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  • Published: 2012-08-24
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  • Publisher: MIT Press

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...

Colonial Revival Maine
  • Language: en
  • Pages: 202

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."

Surviving Cancer After Surviving Cancer
  • Language: en

Surviving Cancer After Surviving Cancer

  • Type: Book
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  • Published: 2012-04-15
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  • Publisher: Unknown

Kevin Murphy's searing and devastatingly honest story, Surviving Cancer after Surviving Cancer, offers a unique perspective on this all too common phenomenon, when cancer (or any life-threatening illness) erodes the foundation of a once happy, thriving relationship. It offers the hard won wisdom of a husband who stood by his cancer stricken wife as she endured immense physical and emotional suffering, and beat the cancer that threatened her life and their unborn child, only to succumb to a painful divorce less than a decade later. Part memoir, part self-help primer, Surviving Cancer after Surviving Cancer is a wakeup call to couples and families whose lives have been decimated by disease. It seeks to bridge the emotional gap that too often isolates citizens of sickness from their spouses, families, and friends.

Machine Learning, second edition
  • Language: en

Machine Learning, second edition

  • Type: Book
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  • Published: 2020
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  • Publisher: MIT Press

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.

Performance Appraisal and Management
  • Language: en
  • Pages: 682

Performance Appraisal and Management

Organizations of all sizes face the challenge of accurately and fairly evaluating performance in the workplace. Performance Appraisal and Management distills the best available research for and translate those findings into practical, concrete strategies. This text explores common obstacles and why certain performance appraisal methods often result in failures. Using a strategic, evidence-based approach, the authors outline best practices for avoiding common pitfalls and helping organizations achieve their maximum potential. Cases, exercise, and spotlight boxes on timely issues like cyberbullying in the workplace and appraising team performance provides readers with opportunities to hone their critical thinking and decision making skills.

Taxing Visions
  • Language: en

Taxing Visions

Published on the occasion of an exhibition held at the Palmer Museum of Art, the Pennsylvania State University, Sept. 25-Dec. 10, 2010 and the Huntington Library, Art Collections and Botanical Gardens, Jan. 29-May 30, 2011.