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Machine learning for experiments in the social sciences, Green, Jon (northeastern University) White, Ii, Mark H. (etsy, Inc.)


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Автор: Green, Jon (northeastern University) White, Ii, Mark H. (etsy, Inc.)
Название:  Machine learning for experiments in the social sciences
ISBN: 9781009168229
Издательство: Cambridge Academ
Классификация:
ISBN-10: 1009168223
Обложка/Формат: Paperback
Страницы: 75
Вес: 0.13 кг.
Дата издания: 13.04.2023
Серия: Elements in experimental political science
Язык: English
Иллюстрации: Worked examples or exercises; worked examples or exercises
Размер: 157 x 237 x 19
Читательская аудитория: General (us: trade)
Ключевые слова: Constitution: government & the state, POLITICAL SCIENCE / American Government / General
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. However, applications of machine learning in causal inference are increasingly prevalent. This Element provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data. We show how machine learning can be useful for conducting robust causal inference and provide a theoretical foundation researchers can use to understand and apply new methods in this rapidly developing field. We then demonstrate two specific methods – the prediction rule ensemble and the causal random forest – for characterizing treatment effect heterogeneity in survey experiments and testing the extent to which such heterogeneity is robust to out-of-sample prediction. We conclude by discussing limitations and tradeoffs of such methods, while directing readers to additional related methods available on the Comprehensive R Archive Network (CRAN).


Mathematics for Machine Learning

Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
Название: Mathematics for Machine Learning
ISBN: 110845514X ISBN-13(EAN): 9781108455145
Издательство: Cambridge Academ
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Цена: 6334.00 р.
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Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

Deep Learning

Автор: Goodfellow Ian, Bengio Yoshua, Courville Aaron
Название: Deep Learning
ISBN: 0262035618 ISBN-13(EAN): 9780262035613
Издательство: Random House (USA)
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Цена: 13794.00 р.
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Описание:

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.

Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: Random House (USA)
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Цена: 17243.00 р.
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Описание:

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 developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Design of Experiments in Neuroscience

Автор: Harrington Mary
Название: Design of Experiments in Neuroscience
ISBN: 110871692X ISBN-13(EAN): 9781108716925
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: This much-anticipated third edition is an ideal core or supplementary text for undergraduates and graduate students studying neuroscience, neuroanatomy, neurophysiology, neurochemistry, or biological psychology. It offers a concise introduction to the basic principles of experimental design and analysis.

Tolerance : Experiments with Freedom in the Netherlands

Автор: Maris
Название: Tolerance : Experiments with Freedom in the Netherlands
ISBN: 3319893440 ISBN-13(EAN): 9783319893440
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This book presents a collection of philosophical essays on freedom and tolerance in the Netherlands. It explores liberal freedom and its limits in areas such as freedom of speech, public reason, sexual morality, euthanasia, drugs policy, and minority rights. The book takes Dutch practices as exemplary test cases for the principled discussions on these subjects from the perspective of political liberalism. Indeed, the Netherlands may be viewed as a social laboratory in human tolerance. During the Cultural Revolution of the 1960s, Holland took the lead in a global emancipation process towards a society based on equal freedom. It was the first country to legalize euthanasia, soft drugs and gay marriage. In the final sections, the book examines the question of whether the political murders on the politician Pim Fortuyn and the film director Theo van Gogh, the reactions to Ayaan Hirsi Ali’s film Submission, as well as the success of the populist politician Geert Wilders are signs of the end of Dutch tolerance. Although it recognizes that the political climate has taken a conservative turn, the book shows that the Netherlands still shows remarkable tolerance.

The Design of Experiments in Neuroscience

Автор: Mary E. Harrington
Название: The Design of Experiments in Neuroscience
ISBN: 1108492622 ISBN-13(EAN): 9781108492621
Издательство: Cambridge Academ
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Цена: 12355.00 р.
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Описание: This much-anticipated third edition is an ideal core or supplementary text for undergraduates and graduate students studying neuroscience, neuroanatomy, neurophysiology, neurochemistry, or biological psychology. It offers a concise introduction to the basic principles of experimental design and analysis.

Experiments In The Machi

Автор: Murray, David W.
Название: Experiments In The Machi
ISBN: 0262528169 ISBN-13(EAN): 9780262528160
Издательство: Random House (USA)
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Цена: 2759.00 р.
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Описание: This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world.

If robots are to act intelligently in everyday environments, they must have a perception of motion and its consequences. This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world. It describes algorithms that form a complete, implemented, and tested system developed by the authors to measure two-dimensional motion in an image sequence, then to compute three-dimensional structure and motion, and finally to recognize the moving objects.

The authors develop algorithms to interpret visual motion around four principal constraints. The first and simplest allows the scene structure to be recovered on a pointwise basis. The second constrains the scene to a set of connected straight edges. The third makes the transition between edge and surface representations by demanding that the wireframe recovered is strictly polyhedral. And the final constraint assumes that the scene is comprised of planar surfaces, and recovers them directly.

Contents
Image, Scene, and Motion - Computing Image Motion - Structure from Motion of Points - The Structure and Motion of Edges - From Edges to Surfaces - Structure and Motion of Planes - Visual Motion Segmentation - Matching to Edge Models - Matching to Planar Surfaces

Meanderings Through the Politics of Everyday Life

Автор: Porter Robert
Название: Meanderings Through the Politics of Everyday Life
ISBN: 178661555X ISBN-13(EAN): 9781786615558
Издательство: Bloomsbury
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Цена: 6018.00 р.
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Описание: The key point of the book, ideally as well as practically, is to realize that there may be something potentially significant, and politically significant, in the very act of making such connections, of understanding the supposedly trite and trivial world of the everyday against a broader political backcloth.

How to Design and Report Experiments

Автор: Field A & Hole G
Название: How to Design and Report Experiments
ISBN: 0761973834 ISBN-13(EAN): 9780761973836
Издательство: Sage Publications
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Цена: 7602.00 р.
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Описание: Providing a map of the entire process, this is the perfect textbook and guide to the often bewildering world of experimental design and statistics.

Double Binds of Neoliberalism

Автор: MacKenzie, Iain, Centre for Critical Thought, University of Kent
Название: Double Binds of Neoliberalism
ISBN: 1538154528 ISBN-13(EAN): 9781538154526
Издательство: Rowman & Littlefield Publishers
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Цена: 17556.00 р.
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Описание: This interdisciplinary collection reassesses the impact of the protests of 1968, as viewed from this contemporary moment.

Voting Experiments

Автор: Blais
Название: Voting Experiments
ISBN: 3319405713 ISBN-13(EAN): 9783319405711
Издательство: Springer
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Цена: 14025.00 р.
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Описание: ?This book presents a collection of papers illustrating the variety of 'experimental' methodologies used to study voting. Experimental methods include laboratory experiments in the tradition of political psychology, laboratory experiments with monetary incentives, in the economic tradition, survey experiments (varying survey, question wording, framing or content), as well as various kinds of field experimentation. Topics include the behavior of voters (in particular turnout, vote choice, and strategic voting), the behavior of parties and candidates, and the comparison of electoral rules.

Principles of Statistical Analysis: Learning from Randomized Experiments

Автор: Ery Arias-Castro
Название: Principles of Statistical Analysis: Learning from Randomized Experiments
ISBN: 1108747442 ISBN-13(EAN): 9781108747448
Издательство: Cambridge Academ
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Цена: 4910.00 р.
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Описание: This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.


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