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Machine Learning for Civil and Environmental Engineers, Naser


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Цена: 10296.00р.
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При оформлении заказа до: 2025-08-04
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Автор: Naser   (Насер)
Название:  Machine Learning for Civil and Environmental Engineers
Перевод названия: Насер: Машинное обучение для инженеров-строителей и инженеров-экологов. Практический подход к анализ
ISBN: 9781119897606
Издательство: Wiley
Классификация:

ISBN-10: 1119897602
Обложка/Формат: Hardback
Страницы: 608
Вес: 1.41 кг.
Дата издания: 2023
Размер: 279 x 221 x 38
Основная тема: Civil Engineering & Construction Special Topics
Подзаголовок: A practical approach to data-driven analysis, explainability, and causality
Ссылка на Издательство: Link
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Поставляется из: Англии


Time and Causality Across the Sciences

Автор: Samantha Kleinberg
Название: Time and Causality Across the Sciences
ISBN: 1108476678 ISBN-13(EAN): 9781108476676
Издательство: Cambridge Academ
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Цена: 9186.00 р.
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Описание: This book provides an entry point for researchers in any field, bringing together perspectives collected from a large body of work on causality across disciplines. Topics include whether quantum mechanics allows causes to precede their effects, the integration of mechanisms, and insight into the role played by intervention and timing information.

Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems

Автор: Hector Zenil, Jesper Tegner, Narsis A. Kiani
Название: Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems
ISBN: 1108497667 ISBN-13(EAN): 9781108497664
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: Biological systems are extensively studied as interactions forming complex networks. Reconstructing causal knowledge from, and principles of, these networks from noisy and incomplete data is a challenge in the field of systems biology. Based on an online course hosted by the Santa Fe Institute Complexity Explorer, this book introduces the field of Algorithmic Information Dynamics, a model-driven approach to the study and manipulation of dynamical systems . It draws tools from network and systems biology as well as information theory, complexity science and dynamical systems to study natural and artificial phenomena in software space. It consists of a theoretical and methodological framework to guide an exploration and generate computable candidate models able to explain complex phenomena in particular adaptable adaptive systems, making the book valuable for graduate students and researchers in a wide number of fields in science from physics to cell biology to cognitive sciences.

Free Will, Causality and the Self

Автор: Sшvik Atle Ottesen
Название: Free Will, Causality and the Self
ISBN: 3110611740 ISBN-13(EAN): 9783110611748
Издательство: Walter de Gruyter
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Цена: 4137.00 р.
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Описание:

A major goal for compatibilists is to avoid the luck problem and to include all the facts from neuroscience and natural science in general which purportedly show that the brain works in a law-governed and causal way like any other part of nature. Libertarians, for their part, want to avoid the manipulation argument and demonstrate that very common and deep seated convictions about freedom and responsibility are true: it can really be fundamentally up to us as agents to determine that the future should be either A or B.

This book presents a theory of free will which integrates the main motivations of compatibilists and libertarians, while at the same time avoiding their problems. The so-called event-causal libertarianism is the libertarian account closest to compatibilitsm, as it claims there is indeterminism in the mind of an agent. The charge of compatibilists, however, is that this position is impaired by the problem of luck. This book is unique in arguing that free will in a strong sense of the term does not require indeterminism in the brain, only indeterminism somewhere in the world which there plausibly is.

Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis

Автор: Xiaohong Chen; Norman R. Swanson
Название: Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis
ISBN: 148999971X ISBN-13(EAN): 9781489999719
Издательство: Springer
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Цена: 25853.00 р.
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Описание: Written by leading experts in the field, this volume presents cutting-edge results on specification and estimation of economic models. Advances in asymptotic approximation theory are discussed, as well as the use of various theoretical tools for technique development.

Unified Methods for Censored Longitudinal Data and Causality

Автор: Mark J. van der Laan; James M Robins
Название: Unified Methods for Censored Longitudinal Data and Causality
ISBN: 1441930558 ISBN-13(EAN): 9781441930552
Издательство: Springer
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Цена: 23058.00 р.
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Описание: A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. The techniques go beyond standard statistical approaches and can be used to teach masters and Ph.D. The text is ideally suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.

Causality In Crisis?: Statistical Methods & Search for Causal Knowledge in Social Sciences

Автор: Stephen Turner, Vaughn McKim
Название: Causality In Crisis?: Statistical Methods & Search for Causal Knowledge in Social Sciences
ISBN: 0268008248 ISBN-13(EAN): 9780268008246
Издательство: Wiley EDC
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Цена: 3259.00 р.
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Описание:

In the past fifty years statisticians and methodologists in the social sciences have developed and refined a family of closely related statistical methods for the study of social phenomena. While the value of such methods of analysis is universally acknowledged, their use has never been wholly uncontroversial. In 1993 prominent scholars from a variety of disciplines (social sciences, statistics, philosophy of science) gathered at the University of Notre Dame to debate whether causal modeling techniques old or new can really justify the drawing of causal conclusions on the basis of correlational statistical data. The resulting volume from that groundbreaking conference is Causality in Crisis? a comprehensive and sophisticated introduction to perhaps the most important set of issues confronting social scientific researchers in the 1990s and beyond.

In the essays presented here contributors critically reassess the widely accepted view that statistical methods of analysis can and do yield causal understanding of social phenomena. Although a number of technical issues receive attention, the overall emphasis is on the larger historical, philosophical, and conceptual perspectives that underlie and inform current methodological controversies.

The debates in Causality in Crisis? have far-ranging implications, for on their resolution hinges the question of what sort of knowledge of social life it is possible to achieve on the basis of non-experimental social scientific research. Any scholar who makes use of causal methods, as well as all who are affected by decisions reached on the basis of such methods, will have a stake in the challenging arguments put forth in this volume.

Causality and Motivation

Автор: Poli Roberto
Название: Causality and Motivation
ISBN: 3110329395 ISBN-13(EAN): 9783110329391
Издательство: Walter de Gruyter
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Цена: 32977.00 р.
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Описание: The series provides a forum for innovative, high-quality work in all fields of analytical philosophy. The volumes in this series are published in either English or German.


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