Learning To Rule
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Learning To Rule
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Author : Daniel Barish
language : en
Publisher: Columbia University Press
Release Date : 2022-02-08
Learning To Rule written by Daniel Barish and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with History categories.
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
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Author : Johannes Fürnkranz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-06
Foundations Of Rule Learning written by Johannes Fürnkranz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-06 with Computers categories.
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.
Rule Based Systems For Big Data
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Author : Han Liu
language : en
Publisher: Springer
Release Date : 2015-09-09
Rule Based Systems For Big Data written by Han Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-09 with Technology & Engineering categories.
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.
The First 20 Hours
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Author : Josh Kaufman
language : en
Publisher: Penguin
Release Date : 2013-06-13
The First 20 Hours written by Josh Kaufman and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-13 with Self-Help categories.
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 Evolutionary Online Learning Systems
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Author : Martin V. Butz
language : en
Publisher: Springer
Release Date : 2006-01-04
Rule Based Evolutionary Online Learning Systems written by Martin V. Butz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-04 with Computers categories.
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
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Author : Benedict Carey
language : en
Publisher: Pan Macmillan
Release Date : 2014-09-11
How We Learn written by Benedict Carey and has been published by Pan Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-11 with Psychology categories.
This book will help you to learn Spanish - or the Spanish guitar - faster. This book will give an athlete the edge to turn Silver into Gold. This book will give any child the chance to perform better in exams. Full stop. How We Learn is a landmark book that shakes up everything we thought we knew about how the brain absorbs and retains information. Filled with powerful - and often thrillingly counter-intuitive - wisdom, stories and practical tips, it gets to the very heart of the learning process; and gives us the keys to reach our very fullest potential in every walk of life. 'This book is a revelation. I feel as if I've owned a brain for 54 years and only now discovered the operating manual . . . Benedict Carey serves up fascinating, surprising and valuable discoveries with clarity, wit, and heart.' Mary Roach, bestselling author of Stiff 'Whether you struggle to remember a client's name, aspire to learn a new language, or are a student battling to prepare for the next test, this book is a must. I know of no other source that pulls together so much of what we know about the science of memory, and couples it with practical, practicable advice.' Daniel T. Willingham, Professor of Psychology, University of Virginia 'Buy this book for yourself and for anyone who wants to learn faster and better.' Daniel Coyle, bestselling author of The Talent Code 'As fun to read as it is important, and as much about how to live as it is about how to learn. Benedict Carey's skills as a writer, plus his willingness to mine his own history as a student, give the book a wonderful narrative quality that makes it all the more accessible - and all the more effective as a tutorial.' Robert A. Bjork, Distinguished Professor of Psychology, University of California
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
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.
How To Play Go A Beginners To Expert Guide To Learn The Game Of Go
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Author : Tim Ander
language : en
Publisher: CRB Publishing
Release Date : 2017-12-18
How To Play Go A Beginners To Expert Guide To Learn The Game Of Go written by Tim Ander and has been published by CRB Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-18 with Games & Activities categories.
Discover the Fascinating Eastern Game That’s Lasted for Millennia! What is Go? Go is a deceptively simple two-player game, played on square boards of various sizes. According to legend, the Chinese Emperor Yau invented this game to teach his son concentration, balance, and discipline. Over time, this game spread to Japan – and across the globe. For over four millennia, war leaders and sages have consulted this game to learn strategy, wisdom, and mental mastery. Inside How to Play Go, you’ll discover everything you need to know to play this ancient game. You’ll learn all the basics of capturing territory and pieces (including self-capture), handling dead stones, and mastering the endgame. This book explains the scoring system of Go – and how to grow from a beginner player to true mastery. How to Play Go explains advanced Go concepts like the Ko Rule, Eyes, and Dead/Live Groups. You’ll discover Atari, Handicaps, Komi, Cutting, and much more! Immerse yourself in a vast array of Go strategies: Territory Capturing The Ladder and the Net Good/Bad Shapes Ponnuki The Mouth Connections, Stretching, and Diagonals One-Point and Two-Point Jumps The Knight Move and the Large Knight Move With this information, you can master this mystical game and increase your mental power!
Association Rule Mining
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Author : Chengqi Zhang
language : en
Publisher: Springer
Release Date : 2003-08-01
Association Rule Mining written by Chengqi Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-01 with Computers categories.
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.
How We Learn
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Author : Benedict Carey
language : en
Publisher: Pan Macmillan
Release Date : 2014-09-11
How We Learn written by Benedict Carey and has been published by Pan Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-11 with Psychology categories.
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.