Learning To Rule

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Learning to Rule

Author : Daniel Barish
Publisher : Columbia University Press
Page : 164 pages
File Size : 45,6 Mb
Release : 2022-02-08
Category : History
ISBN : 9780231554961

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Learning to Rule by Daniel Barish Pdf

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

Author : Johannes Fürnkranz,Dragan Gamberger,Nada Lavrač
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 53,9 Mb
Release : 2012-11-06
Category : Computers
ISBN : 9783540751977

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Foundations of Rule Learning by Johannes Fürnkranz,Dragan Gamberger,Nada Lavrač Pdf

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

Author : Josh Kaufman
Publisher : Penguin
Page : 288 pages
File Size : 55,5 Mb
Release : 2013-06-13
Category : Self-Help
ISBN : 9781101623046

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The First 20 Hours by Josh Kaufman Pdf

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.

Rule Based Systems for Big Data

Author : Han Liu,Alexander Gegov,Mihaela Cocea
Publisher : Springer
Page : 121 pages
File Size : 54,5 Mb
Release : 2015-09-09
Category : Technology & Engineering
ISBN : 9783319236964

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Rule Based Systems for Big Data by Han Liu,Alexander Gegov,Mihaela Cocea Pdf

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.

Rule-Based Evolutionary Online Learning Systems

Author : Martin V. Butz
Publisher : Springer
Page : 259 pages
File Size : 42,5 Mb
Release : 2006-01-04
Category : Computers
ISBN : 9783540312314

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Rule-Based Evolutionary Online Learning Systems by Martin V. Butz Pdf

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.

How We Learn

Author : Benedict Carey
Publisher : Random House
Page : 274 pages
File Size : 55,6 Mb
Release : 2014-09-09
Category : Psychology
ISBN : 9780812993899

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How We Learn by Benedict Carey Pdf

In the tradition of The Power of Habit and Thinking, Fast and Slow comes a practical, playful, and endlessly fascinating guide to what we really know about learning and memory today—and how we can apply it to our own lives. From an early age, it is drilled into our heads: Restlessness, distraction, and ignorance are the enemies of success. We’re told that learning is all self-discipline, that we must confine ourselves to designated study areas, turn off the music, and maintain a strict ritual if we want to ace that test, memorize that presentation, or nail that piano recital. But what if almost everything we were told about learning is wrong? And what if there was a way to achieve more with less effort? In How We Learn, award-winning science reporter Benedict Carey sifts through decades of education research and landmark studies to uncover the truth about how our brains absorb and retain information. What he discovers is that, from the moment we are born, we are all learning quickly, efficiently, and automatically; but in our zeal to systematize the process we have ignored valuable, naturally enjoyable learning tools like forgetting, sleeping, and daydreaming. Is a dedicated desk in a quiet room really the best way to study? Can altering your routine improve your recall? Are there times when distraction is good? Is repetition necessary? Carey’s search for answers to these questions yields a wealth of strategies that make learning more a part of our everyday lives—and less of a chore. By road testing many of the counterintuitive techniques described in this book, Carey shows how we can flex the neural muscles that make deep learning possible. Along the way he reveals why teachers should give final exams on the first day of class, why it’s wise to interleave subjects and concepts when learning any new skill, and when it’s smarter to stay up late prepping for that presentation than to rise early for one last cram session. And if this requires some suspension of disbelief, that’s because the research defies what we’ve been told, throughout our lives, about how best to learn. The brain is not like a muscle, at least not in any straightforward sense. It is something else altogether, sensitive to mood, to timing, to circadian rhythms, as well as to location and environment. It doesn’t take orders well, to put it mildly. If the brain is a learning machine, then it is an eccentric one. In How We Learn, Benedict Carey shows us how to exploit its quirks to our advantage.

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
Page : 320 pages
File Size : 41,9 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 9780244768522

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Interpretable Machine Learning by Christoph Molnar Pdf

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.

Mob Rule Learning

Author : Michelle Boule
Publisher : Information Today
Page : 0 pages
File Size : 51,9 Mb
Release : 2011
Category : Business & Economics
ISBN : 0910965927

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Mob Rule Learning by Michelle Boule Pdf

Counter In response to the increasing failure to_successfully instruct_through traditional conferences and_learning environments, this comprehensive resource offers the first examination of, and guide to, the “unconference” movement._Dissecting the impact of internet “mob rule” on continuing education and training, this book shows how a new breed of digital solutions-including camps, “unconferences,” and peer learning strategies-successfully put_the power of knowledge in the hands of_learners. In addition to providing a step-by-step approach to planning and leading a successful camp or “unconference,” numerous case studies are presented, as well as interviews and examples of emerging education and training models for organizations, businesses, and community groups of all sizes.

How We Learn

Author : Benedict Carey
Publisher : Pan Macmillan
Page : 271 pages
File Size : 48,9 Mb
Release : 2014-09-11
Category : Psychology
ISBN : 9780230767782

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How We Learn by Benedict Carey Pdf

From an early age, we are told that restlessness, distraction, and ignorance are the enemies of success. Learning is all self-discipline, so we must confine ourselves to designated study areas, turn off the music, and maintain a strict ritual. But what if almost everything we were told about learning is wrong? And what if there was a way to achieve more with less effort? Here, award-winning science reporter Benedict Carey sifts through decades of education research to uncover the truth about how our brains absorb and retain information. What he discovers is that, from the moment we are born, we all learn quickly, efficiently, and automatically; but in our zeal to systematize the process we have ignored valuable, naturally enjoyable learning tools like forgetting, sleeping, and daydreaming. Is a dedicated desk in a quiet room really the best way to study? Can altering your routine improve your recall? Are there times when distraction is good? Is repetition necessary? Carey's search for answers to these questions yields a wealth of strategies that make learning more a part of our everyday lives--and less of a chore.--From publisher description.

That Rule Doesn't Apply to Me!

Author : Julia Cook
Publisher : Boys Town Press
Page : 32 pages
File Size : 51,6 Mb
Release : 2018-01-23
Category : Self-Help
ISBN : 9781545721643

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That Rule Doesn't Apply to Me! by Julia Cook Pdf

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 #1

Author : Phil Town
Publisher : Crown Currency
Page : 405 pages
File Size : 49,9 Mb
Release : 2006-03-21
Category : Business & Economics
ISBN : 9780307345752

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Rule #1 by Phil Town Pdf

#1 NEW YORK TIMES BESTSELLER • “The clearest and best book out there to get you on the path to riches. This one’s special!”—Jim Cramer, host of CNBC’s Mad Money “Great tools for anyone wanting to dabble in the stock market.”—USA Today Phil Town is a very wealthy man, but he wasn’t always. In fact, he was living on a salary of $4,000 a year when some well-timed advice launched him down a highway of investing self-education that revealed what the true “rules” are and how to make them work in one’s favor. Chief among them, of course, is Rule #1: “Don’t lose money.” In this updated edition to the #1 national bestseller, you’ll learn more of Phil’s fresh, think-outside-the-box rules, including: • Don’t diversify • Only buy a stock when it’s on sale • Think long term—but act short term to maximize your return • And most of all, beat the big investors at their own game by using the tools designed for them! As Phil demonstrates in these pages, giant mutual funds can’t help but regress to the mean—and as we’ve all learned in recent years, that mean could be very disappointing indeed. Fortunately, Rule #1 takes readers step-by-step through a do-it-yourself process, equipping even the biggest investing-phobes with the tools they need to make quantum leaps toward financial security—regardless of where the market is headed.

The NEW School Rules

Author : Anthony Kim,Alexis Gonzales-Black
Publisher : Corwin Press
Page : 185 pages
File Size : 55,9 Mb
Release : 2018-01-06
Category : Education
ISBN : 9781544323206

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The NEW School Rules by Anthony Kim,Alexis Gonzales-Black Pdf

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

Learning from Empire

Author : Poonam Bala
Publisher : Cambridge Scholars Publishing
Page : 269 pages
File Size : 46,7 Mb
Release : 2019-01-15
Category : Medical
ISBN : 9781527525566

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Learning from Empire by Poonam Bala Pdf

Internationalisation of medical knowledge, its circulation and implementation through colonial institutions have played a significant role in combating diseases of public health importance. With contributions from reputed faculty and researchers, this volume examines the dynamics of circulation of medical knowledge and the creation of webs of empire through medical curiosities, medical and architectural knowledge, medical manuscripts, African agency, medical ideas and management of diseases, surgical and anatomical knowledge and a collective scientific enterprise in translating ‘local’ to ‘universal’ paradigms of practice.

Association Rule Mining

Author : Chengqi Zhang,Shichao Zhang
Publisher : Springer
Page : 244 pages
File Size : 54,5 Mb
Release : 2003-08-01
Category : Computers
ISBN : 9783540460275

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Association Rule Mining by Chengqi Zhang,Shichao Zhang Pdf

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

The No Asshole Rule

Author : Robert I. Sutton
Publisher : Business Plus
Page : 166 pages
File Size : 40,6 Mb
Release : 2007-02-22
Category : Business & Economics
ISBN : 9780759518018

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The No Asshole Rule by Robert I. Sutton Pdf

The definitive guide to working with -- and surviving -- bullies, creeps, jerks, tyrants, tormentors, despots, backstabbers, egomaniacs, and all the other assholes who do their best to destroy you at work. "What an asshole!" How many times have you said that about someone at work? You're not alone! In this groundbreaking book, Stanford University professor Robert I. Sutton builds on his acclaimed Harvard Business Review article to show you the best ways to deal with assholes...and why they can be so destructive to your company. Practical, compassionate, and in places downright funny, this guide offers: Strategies on how to pinpoint and eliminate negative influences for good Illuminating case histories from major organizations A self-diagnostic test and a program to identify and keep your own "inner jerk" from coming out The No Asshole Rule is a New York Times, Wall Street Journal, USA Today and Business Week bestseller.