Author: Simon Rogers
Publisher: CRC Press
ISBN: 1498738540
Category : Computers
Languages : en
Pages : 428
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Book Description
Introduces the main algorithms and ideas that underpin machine learning techniques and applications Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations Covers modern machine learning research and techniques Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models Offers Python, R, and MATLAB code on accompanying website: http://www.dcs.gla.ac.uk/~srogers/firstcourseml/"
Author: Ian Foster
Publisher: CRC Press
ISBN: 1498751431
Category : Mathematics
Languages : en
Pages : 493
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Book Description
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
Author: Michael Kearns
Publisher:
ISBN: 0190948205
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
Algorithms have made our lives more efficient and entertaining--but not without a significant cost. Can we design a better future, one in which societial gains brought about by technology are balanced with the rights of citizens? The Ethical Algorithm offers a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.
Author: Pablo Ibarrarán
Publisher:
ISBN: 9781597822749
Category :
Languages : en
Pages :
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Book Description
Author: Aileen Nielsen
Publisher: O'Reilly Media
ISBN: 1492075701
Category : Computers
Languages : en
Pages : 346
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Book Description
Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective.
Author: Thomas Scanlon
Publisher: Oxford University Press
ISBN: 0198812698
Category : Philosophy
Languages : en
Pages : 181
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Book Description
Inequality is widely regarded as morally objectionable: T. M. Scanlon investigates why it matters to us. He considers the nature and importance of equality of opportunity, whether the pursuit of greater equality involves objectionable interference with individual liberty, and whether the rich can be said to deserve their greater rewards.
Author: Harry Brighouse
Publisher: Cambridge University Press
ISBN: 1139487442
Category : Philosophy
Languages : en
Pages : 269
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Book Description
This book brings together a team of leading theorists to address the question 'What is the right measure of justice?' Some contributors, following Amartya Sen and Martha Nussbaum, argue that we should focus on capabilities, or what people are able to do and to be. Others, following John Rawls, argue for focussing on social primary goods, the goods which society produces and which people can use. Still others see both views as incomplete and complementary to one another. Their essays evaluate the two approaches in the light of particular issues of social justice - education, health policy, disability, children, gender justice - and the volume concludes with an essay by Amartya Sen, who originated the capabilities approach.
Author: Elizabeth Anderson
Publisher: Princeton University Press
ISBN: 0691158118
Category : Political Science
Languages : en
Pages : 260
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Book Description
A powerful new argument for reviving the ideal of racial integration More than forty years have passed since Congress, in response to the Civil Rights Movement, enacted sweeping antidiscrimination laws in the Civil Rights Act of 1964, the Voting Rights Act of 1965, and the Fair Housing Act of 1968. As a signal achievement of that legacy, in 2008, Americans elected their first African American president. Some would argue that we have finally arrived at a postracial America, but The Imperative of Integration indicates otherwise. Elizabeth Anderson demonstrates that, despite progress toward racial equality, African Americans remain disadvantaged on virtually all measures of well-being. Segregation remains a key cause of these problems, and Anderson skillfully shows why racial integration is needed to address these issues. Weaving together extensive social science findings—in economics, sociology, and psychology—with political theory, this book provides a compelling argument for reviving the ideal of racial integration to overcome injustice and inequality, and to build a better democracy. Considering the effects of segregation and integration across multiple social arenas, Anderson exposes the deficiencies of racial views on both the right and the left. She reveals the limitations of conservative explanations for black disadvantage in terms of cultural pathology within the black community and explains why color blindness is morally misguided. Multicultural celebrations of group differences are also not enough to solve our racial problems. Anderson provides a distinctive rationale for affirmative action as a tool for promoting integration, and explores how integration can be practiced beyond affirmative action. Offering an expansive model for practicing political philosophy in close collaboration with the social sciences, this book is a trenchant examination of how racial integration can lead to a more robust and responsive democracy.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Batya Friedman
Publisher: MIT Press
ISBN: 0262039532
Category : Design
Languages : en
Pages : 258
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Book Description
Using our moral and technical imaginations to create responsible innovations: theory, method, and applications for value sensitive design. Implantable medical devices and human dignity. Private and secure access to information. Engineering projects that transform the Earth. Multigenerational information systems for international justice. How should designers, engineers, architects, policy makers, and others design such technology? Who should be involved and what values are implicated? In Value Sensitive Design, Batya Friedman and David Hendry describe how both moral and technical imagination can be brought to bear on the design of technology. With value sensitive design, under development for more than two decades, Friedman and Hendry bring together theory, methods, and applications for a design process that engages human values at every stage. After presenting the theoretical foundations of value sensitive design, which lead to a deep rethinking of technical design, Friedman and Hendry explain seventeen methods, including stakeholder analysis, value scenarios, and multilifespan timelines. Following this, experts from ten application domains report on value sensitive design practice. Finally, Friedman and Hendry explore such open questions as the need for deeper investigation of indirect stakeholders and further method development. This definitive account of the state of the art in value sensitive design is an essential resource for designers and researchers working in academia and industry, students in design and computer science, and anyone working at the intersection of technology and society.
