Learning to Rule

Learning to Rule

Author: Daniel Barish

Publisher: Columbia University Press

Published: 2022-02-08

Total Pages: 164

ISBN-13: 0231554966

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In the second half of the nineteenth century, local leaders around the Qing empire attempted to rebuild in the aftermath of domestic rebellion and imperialist aggression. At the same time, the enthronement of a series of children brought the question of reconstruction into the heart of the capital. Chinese scholars, Manchu and Mongolian officials, and writers in the press all competed to have their ideas included in the education of young rulers. Each group hoped to use the power of the emperor—both his functional role within the bureaucracy and his symbolic role as an exemplar for the people—to promote reform. Daniel Barish explores debates surrounding the education of the final three Qing emperors, showing how imperial curricula became proxy battles for divergent visions of how to restabilize the country. He sheds light on the efforts of rival figures, who drew on China’s dynastic history, Manchu traditions, and the statecraft tools of imperial powers as they sought to remake the state. Barish traces how court education reflected arguments over the introduction of Western learning, the fate of the Manchu Way, the place of women in society, notions of constitutionalism, and emergent conceptions of national identity. He emphasizes how changing ideas of education intersected with a push for a renewed imperial center and national unity, helping create a model of rulership for postimperial regimes. Through the lens of the education of young emperors, Learning to Rule develops a new understanding of the late Qing era and the relationship between the monarchy and the nation in modern China.


Book Synopsis Learning to Rule by : Daniel Barish

Download or read book Learning to Rule written by Daniel Barish and published by Columbia University Press. This book was released on 2022-02-08 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the second half of the nineteenth century, local leaders around the Qing empire attempted to rebuild in the aftermath of domestic rebellion and imperialist aggression. At the same time, the enthronement of a series of children brought the question of reconstruction into the heart of the capital. Chinese scholars, Manchu and Mongolian officials, and writers in the press all competed to have their ideas included in the education of young rulers. Each group hoped to use the power of the emperor—both his functional role within the bureaucracy and his symbolic role as an exemplar for the people—to promote reform. Daniel Barish explores debates surrounding the education of the final three Qing emperors, showing how imperial curricula became proxy battles for divergent visions of how to restabilize the country. He sheds light on the efforts of rival figures, who drew on China’s dynastic history, Manchu traditions, and the statecraft tools of imperial powers as they sought to remake the state. Barish traces how court education reflected arguments over the introduction of Western learning, the fate of the Manchu Way, the place of women in society, notions of constitutionalism, and emergent conceptions of national identity. He emphasizes how changing ideas of education intersected with a push for a renewed imperial center and national unity, helping create a model of rulership for postimperial regimes. Through the lens of the education of young emperors, Learning to Rule develops a new understanding of the late Qing era and the relationship between the monarchy and the nation in modern China.

Foundations of Rule Learning

Foundations of Rule Learning

Author: Johannes Fürnkranz

Publisher: Springer Science & Business Media

Published: 2012-11-06

Total Pages: 345

ISBN-13: 3540751971

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Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.


Book Synopsis Foundations of Rule Learning by : Johannes Fürnkranz

Download or read book Foundations of Rule Learning written by Johannes Fürnkranz and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.

The First 20 Hours

The First 20 Hours

Author: Josh Kaufman

Publisher: Penguin

Published: 2013-06-13

Total Pages: 288

ISBN-13: 1101623047

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Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of prac­ticing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct com­plex skills, maximize productive practice, and remove common learning barriers. By complet­ing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the meth­ods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard key­board, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the sim­ple techniques he teaches: Define your target performance level: Fig­ure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcompo­nents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accu­rate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chain­saws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.


Book Synopsis The First 20 Hours by : Josh Kaufman

Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2013-06-13 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of prac­ticing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct com­plex skills, maximize productive practice, and remove common learning barriers. By complet­ing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the meth­ods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard key­board, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the sim­ple techniques he teaches: Define your target performance level: Fig­ure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcompo­nents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accu­rate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chain­saws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.

That Rule Doesn't Apply to Me!

That Rule Doesn't Apply to Me!

Author: Julia Cook

Publisher: Boys Town Press

Published: 2018-01-23

Total Pages: 32

ISBN-13: 1545721645

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The rules keep getting in the way of Noodle's fun. Rules for this, rules for that. There are so many rules! Can Noodle be convinced that rules are meant to help, not harm him?


Book Synopsis That Rule Doesn't Apply to Me! by : Julia Cook

Download or read book That Rule Doesn't Apply to Me! written by Julia Cook and published by Boys Town Press. This book was released on 2018-01-23 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rules keep getting in the way of Noodle's fun. Rules for this, rules for that. There are so many rules! Can Noodle be convinced that rules are meant to help, not harm him?

Rule Based Systems for Big Data

Rule Based Systems for Big Data

Author: Han Liu

Publisher: Springer

Published: 2015-09-09

Total Pages: 121

ISBN-13: 3319236962

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The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.


Book Synopsis Rule Based Systems for Big Data by : Han Liu

Download or read book Rule Based Systems for Big Data written by Han Liu and published by Springer. This book was released on 2015-09-09 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

Interpretable Machine Learning

Interpretable Machine Learning

Author: Christoph Molnar

Publisher: Lulu.com

Published: 2020

Total Pages: 320

ISBN-13: 0244768528

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.


Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Rule-Based Evolutionary Online Learning Systems

Rule-Based Evolutionary Online Learning Systems

Author: Martin V. Butz

Publisher: Springer

Published: 2006-01-04

Total Pages: 259

ISBN-13: 3540312315

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Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces,andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis,understanding,anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland’s originally envisioned cognitive systems. Martin V.


Book Synopsis Rule-Based Evolutionary Online Learning Systems by : Martin V. Butz

Download or read book Rule-Based Evolutionary Online Learning Systems written by Martin V. Butz and published by Springer. This book was released on 2006-01-04 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces,andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis,understanding,anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland’s originally envisioned cognitive systems. Martin V.

Merritt and Simmons's Learning Evidence: from the Federal Rules to the Courtroom, 5th

Merritt and Simmons's Learning Evidence: from the Federal Rules to the Courtroom, 5th

Author: Deborah Jones Merritt (‡e author)

Publisher: West Academic Publishing

Published: 2021-12-14

Total Pages: 1096

ISBN-13: 9781684675784

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CasebookPlus Hardbound - New, hardbound print book includes lifetime digital access to an eBook, with the ability to highlight and take notes, and 12-month access to a digital Learning Library that includes self-assessment quizzes tied to this book, online videos, interactive trial simulations, leading study aids, an outline starter, and Gilbert Law Dictionary.


Book Synopsis Merritt and Simmons's Learning Evidence: from the Federal Rules to the Courtroom, 5th by : Deborah Jones Merritt (‡e author)

Download or read book Merritt and Simmons's Learning Evidence: from the Federal Rules to the Courtroom, 5th written by Deborah Jones Merritt (‡e author) and published by West Academic Publishing. This book was released on 2021-12-14 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: CasebookPlus Hardbound - New, hardbound print book includes lifetime digital access to an eBook, with the ability to highlight and take notes, and 12-month access to a digital Learning Library that includes self-assessment quizzes tied to this book, online videos, interactive trial simulations, leading study aids, an outline starter, and Gilbert Law Dictionary.

The NEW School Rules

The NEW School Rules

Author: Anthony Kim

Publisher: Corwin Press

Published: 2018-01-06

Total Pages: 185

ISBN-13: 1544323204

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Actions to increase effectiveness of schools in a rapidly changing world Schools, in order to be nimble and stay relevant and impactful, need to abandon the rigid structures designed for less dynamic times. The NEW School Rules expands cutting-edge organizational design and modern management techniques into an operating system for empowering schools with the same agility and responsiveness so vital in the business world. 6 simple rules create a unified vision of responsiveness among educators Real life case studies illustrate responsive techniques implemented in a variety of educational demographics 15 experiments guide school and district leaders toward increased responsiveness in their faculty and staff


Book Synopsis The NEW School Rules by : Anthony Kim

Download or read book The NEW School Rules written by Anthony Kim and published by Corwin Press. This book was released on 2018-01-06 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Actions to increase effectiveness of schools in a rapidly changing world Schools, in order to be nimble and stay relevant and impactful, need to abandon the rigid structures designed for less dynamic times. The NEW School Rules expands cutting-edge organizational design and modern management techniques into an operating system for empowering schools with the same agility and responsiveness so vital in the business world. 6 simple rules create a unified vision of responsiveness among educators Real life case studies illustrate responsive techniques implemented in a variety of educational demographics 15 experiments guide school and district leaders toward increased responsiveness in their faculty and staff

Model Rules of Professional Conduct

Model Rules of Professional Conduct

Author: American Bar Association. House of Delegates

Publisher: American Bar Association

Published: 2007

Total Pages: 216

ISBN-13: 9781590318737

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The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.


Book Synopsis Model Rules of Professional Conduct by : American Bar Association. House of Delegates

Download or read book Model Rules of Professional Conduct written by American Bar Association. House of Delegates and published by American Bar Association. This book was released on 2007 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.