James W. Green's Books

The Dramatic Works of James Sheridan Knowles

By: James Sheridan Knowles

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The Dramatic Works of James Sheridan Knowles

By: James Sheridan Knowles

Eight plays by actor and dramatist James Sheridan Knowles (1784-1862), including The Love-Chase.

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Page Count

464

Publisher

Wildside Press LLC

Published Date

ISBN 10

1434410277

ISBN 13

9781434410276

The Love-chase

in large print

By: James Sheridan Knowles

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The Love-chase

in large print

By: James Sheridan Knowles

Reproduction of the original. The publishing house Megali specialises in reproducing historical works in large print to make reading easier for people with impaired vision.

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Page Count

110

Publisher

BoD – Books on Demand

Published Date

ISBN 10

3387028636

ISBN 13

9783387028638

Probabilistic Machine Learning for Civil Engineers

By: James-A. Goulet

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Probabilistic Machine Learning for Civil Engineers

By: James-A. Goulet

An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.

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Page Count

298

Publisher

MIT Press

Published Date

ISBN 10

0262538709

ISBN 13

9780262538701

Walker and Walker: The Law of Evidence in Scotland

By: Margaret L Ross,James P Chalmers,Isla Callander

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Walker and Walker: The Law of Evidence in Scotland

By: Margaret L Ross,James P Chalmers,Isla Callander

A comprehensive and detailed examination of the law of evidence in the broadest of civil and criminal contexts. The emphasis is upon rigorous examination of the issues affecting all who work with the law of evidence whether in court, chamber practice or legal education. The fifth edition takes account of a range of relevant new legislation, including the following statutes: · Vulnerable Witnesses (Criminal Evidence) (Scotland) Act 2019 · Domestic Abuse (Scotland) Act 2018 · Abusive Behaviour and Sexual Harm (Scotland) Act 2016 · Inquiries into Fatal Accidents and Sudden Deaths etc (Scotland) Act 2016 · Criminal Justice (Scotland) Act 2016 It includes relevant case law, including significant developments in respect of opinion evidence, real evidence and corroboration.

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Page Count

751

Publisher

Bloomsbury Publishing

Published Date

ISBN 10

1526514478

ISBN 13

9781526514479

Who's Who in Plastics Polymers, First Edition

By: James P. Harrington

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Who's Who in Plastics Polymers, First Edition

By: James P. Harrington

This is the first edition of a unique new plastics industry resource: Who's Who in Plastics & Polymers. It is the only biographical directory of its kind and includes contact, affiliation and background information on more than 3300 individuals who are active leaders in this industry and related organizations. The biographical directory is in alphabetical order by individual name. After each individual name, current affiliation and contact information is provided. This includes job title, full name of affiliation (e.g., business, university, association, research institute), business address, and electronic contacts-telephone, fax, e-mail and Web site. Home addresses and contacts are also provided for most of the entries. In the biographical summary section for each individual, the following information is provided: date and place of birth, education and educational achievements, work experience including company or other organization names, positions held and time periods. Also included in this section are the number of patents awarded, articles, and book chapters authored, and conference sessions chaired. Other information includes titles of books edited or written by the individual, listing of conferences where the person had a leadership position, and listing of memberships and positions held in professional organizations. Finally, professional and civic awards are listed. Indexes provide listings of individuals by company or other organization name, and also by geographical location. Who's Who in Plastics & Polymers is now published in a limited edition of 1,000 copies. This edition will not be reprinted. To be sure of receiving your copy, please act now. Information on ordering follows sample pages on the reverse.

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Page Count

698

Publisher

CRC Press

Published Date

ISBN 10

1566769221

ISBN 13

9781566769228

Book's by James W. Green

The Dramatic Works of James Sheridan Knowles

The Dramatic Works of James Sheridan Knowles

The Love-chase

The Love-chase

Probabilistic Machine Learning for Civil Engineers

Probabilistic Machine Learning for Civil Engineers

Walker and Walker: The Law of Evidence in Scotland

Walker and Walker: The Law of Evidence in Scotland

Who's Who in Plastics Polymers, First Edition

Who's Who in Plastics Polymers, First Edition

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