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Languages : en
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IEEE Std 1647-2016 (Revision of IEEE Std 1647-2011) - Redline
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Languages : en
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IEEE Std 1647-2011 (Revision of IEEE Std 1647-2008) - Redline
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Languages : en
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Publisher:
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IEEE Std 1647-2016 (Revision of IEEE Std 1647-2011)
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Languages : en
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IEEE Std 1647-2008 (Revision of IEEE Std 1647-2006) - Redline
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Languages : en
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Publisher:
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IEEE Std 1647-2011 (Revision of IEEE Std 1647-2008)
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IEEE Std 1647-2008 (Revision of IEEE Std 1647-2006) - Redline
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ISBN: 9780738169552
Category :
Languages : en
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ISBN: 9780738169552
Category :
Languages : en
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IEEE Std 802.15.7-2018 (Revision of IEEE Std 802.15.7-2011) - Redline
Author:
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ISBN: 9781504459495
Category :
Languages : en
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ISBN: 9781504459495
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Elements of Causal Inference
Author: Jonas Peters
Publisher: MIT Press
ISBN: 0262037319
Category : Computers
Languages : en
Pages : 289
Book Description
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
Publisher: MIT Press
ISBN: 0262037319
Category : Computers
Languages : en
Pages : 289
Book Description
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
Green Communications and Networking
Author: F. Richard Yu
Publisher: CRC Press
ISBN: 1466589191
Category : Computers
Languages : en
Pages : 402
Book Description
Green Communications and Networking introduces novel solutions that can bring about significant reductions in energy consumption in the information and communication technology (ICT) industry-as well as other industries, including electric power. Containing the contributions of leading experts in the field, it examines the latest research advances
Publisher: CRC Press
ISBN: 1466589191
Category : Computers
Languages : en
Pages : 402
Book Description
Green Communications and Networking introduces novel solutions that can bring about significant reductions in energy consumption in the information and communication technology (ICT) industry-as well as other industries, including electric power. Containing the contributions of leading experts in the field, it examines the latest research advances
Human Health and Performance Risks of Space Exploration Missions
Author: Jancy C. McPhee
Publisher: U. S. National Aeronautics & Space Administration
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 396
Book Description
Publisher: U. S. National Aeronautics & Space Administration
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 396
Book Description