Its A Knowing Second Edition

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It's a knowing (second edition)

Author : Author Melissa White
Publisher : Lulu.com
ISBN 13 : 1304860930
Total Pages : 120 pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis It's a knowing (second edition) by : Author Melissa White

Download or read book It's a knowing (second edition) written by Author Melissa White and published by Lulu.com. This book was released on 2014-05-03 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: When you know something you are made aware. You have to know, a book of self-awareness my first book, is a book of self-awareness and certainty. In this book, It's a knowing, walking into a level of maturity (second edition) you will learn more about God's expectations. Your walk and example in the earth will be examined. You will take a closer look at yourself. You will be confirmed more in your rights as a true child of the true and living King. You will know if you are real or not, whether you are his or not, as Jesus says ""you shall know them by their fruits,"" Matthew 7:16 KJV. In this volume, you should be more one in the Spirit with God, his Son Jesus and the Holy Ghost. You shall leave of one mind, one body, one Spirit, one hope, one Lord, one faith, one baptism, one God and one Father of all.

On Knowing

Author : Jerome Seymour Bruner
Publisher : Harvard University Press
ISBN 13 : 9780674635258
Total Pages : 212 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis On Knowing by : Jerome Seymour Bruner

Download or read book On Knowing written by Jerome Seymour Bruner and published by Harvard University Press. This book was released on 1979 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The left hand has traditionally represented the powers of intuition, feeling, and spontaneity. In this classic book, Jerome Bruner inquires into the part these qualities play in determining how we know what we do know; how we can help others to know--that is, to teach; and how our conception of reality affects our actions and is modified by them. The striking and subtle discussions contained in On Knowing take on the core issues concerning man's sense of self: creativity, the search for identity, the nature of aesthetic knowledge, myth, the learning process, and modern-day attitudes toward social controls, Freud, and fate. In this revised, expanded edition, Bruner comments on his personal efforts to maintain an intuitively and rationally balanced understanding of human nature, taking into account the odd historical circumstances which have hindered academic psychology's attempts in the past to know man. Writing with wit, imagination, and deep sympathy for the human condition, Jerome Bruner speaks here to the part of man's mind that can never be completely satisfied by the right-handed virtues of order, rationality, and discipline.

You Don't Know JS Yet

Author : Kyle Simpson
Publisher :
ISBN 13 :
Total Pages : 143 pages
Book Rating : 4.6/5 (24 download)

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Book Synopsis You Don't Know JS Yet by : Kyle Simpson

Download or read book You Don't Know JS Yet written by Kyle Simpson and published by . This book was released on 2020-01-28 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: It seems like there's never been as much widespread desire before to learn JS. But with a million blogs, books, and videos out there, just where do you start?The worldwide best selling "You Don't Know JS" book series is back for a 2nd edition: "You Don't Know JS Yet". All 6 books are brand new, rewritten to cover all sides of JS for 2020 and beyond."Get Started" prepares you for the journey ahead, first surveying the language then detailing how the rest of the You Don't Know JS Yet book series guides you to knowing JS more deeply.

Leading Modern Learning

Author : Jay McTighe
Publisher :
ISBN 13 : 9781947604445
Total Pages : 0 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Leading Modern Learning by : Jay McTighe

Download or read book Leading Modern Learning written by Jay McTighe and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the second edition of Leading Modern Learning, A Blueprint for Vision Driven Schools authors Jay McTighe and Greg Curtis offer the reader a fully rethought version of their blueprint for major education reform. More than a simple refresh, this new edition incorporates new insights, thinking, and experiences to refine approaches to, and tools for, implementing effective modern learning practices in a department, school, or district. With new Notes From the Field elements, McTighe and Curtis highlight key observations from their work with schools, including how to avoid potential missteps, misunderstandings, and time wasters that inhibit progress when implementing reform. .

Reinforcement Learning, second edition

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262039249
Total Pages : 549 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

First Philosophy: Knowing and Being - Second Edition

Author : Andrew Bailey
Publisher : Broadview Press
ISBN 13 : 1554811813
Total Pages : 558 pages
Book Rating : 4.5/5 (548 download)

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Book Synopsis First Philosophy: Knowing and Being - Second Edition by : Andrew Bailey

Download or read book First Philosophy: Knowing and Being - Second Edition written by Andrew Bailey and published by Broadview Press. This book was released on 2013-06-17 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Philosophy: Knowing and Being brings together over thirty classic and contemporary readings in epistemology and metaphysics. Mindful of the intrinsic difficulty of the material, the editors provide comprehensive introductions both to each topic and to each individual selection. By presenting a detailed discussion of the historical and intellectual background to each piece, the editors enable readers to approach the material without unnecessary barriers to understanding. A brief introduction to arguments is included, as are appendices on terminology and philosophical puzzles and paradoxes.

I Don't Know... the way of Knowing [Second Edition]

Author : D.E. Paulk
Publisher : Spirit and Truth Sanctuary
ISBN 13 : 173704515X
Total Pages : 421 pages
Book Rating : 4.7/5 (37 download)

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Book Synopsis I Don't Know... the way of Knowing [Second Edition] by : D.E. Paulk

Download or read book I Don't Know... the way of Knowing [Second Edition] written by D.E. Paulk and published by Spirit and Truth Sanctuary. This book was released on 2021-09-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: I Don't Know is the required confession needed to be granted admission to the path of enlightenment and to The Way of Knowing. I Know is conclusive, ending, finite and therefore devastating. I Know is an enemy of immortality and nemesis to The Way of Knowing. We are all infinite spirits and the offspring of the Infinite Creator. When we discover the I Don't Know within we unleash our Infinite nature and unearth the Endless Us! Are you ready to put on immortality?

Lifelong Machine Learning, Second Edition

Author : Zhiyuan Sun
Publisher : Springer Nature
ISBN 13 : 3031015819
Total Pages : 187 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Lifelong Machine Learning, Second Edition by : Zhiyuan Sun

Download or read book Lifelong Machine Learning, Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Specific Learning Differences, What Teachers Need to Know (Second Edition)

Author : Diana Hudson
Publisher : Jessica Kingsley Publishers
ISBN 13 : 1839977094
Total Pages : 268 pages
Book Rating : 4.8/5 (399 download)

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Book Synopsis Specific Learning Differences, What Teachers Need to Know (Second Edition) by : Diana Hudson

Download or read book Specific Learning Differences, What Teachers Need to Know (Second Edition) written by Diana Hudson and published by Jessica Kingsley Publishers. This book was released on 2024-04-18 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated, straight-talking and accessible guide is ideal for teachers, teaching assistants, SENCOs, senior leadership and even home schooling parents who want to know more about supporting students with Learning Differences. Highlighting some of the more commonly encountered Specific Learning Differences (SpLD's), expert Diana Hudson concisely describes the signs of those that are most commonly encountered in the classroom. Covering: dyslexia, dyspraxia, dyscalculia, dysgraphia, autism spectrum condition, ADHD, OCD and featuring brand new chapters on Pathological Demand Avoidance (PDA), Sensory Processing Disorder (SPD) and tics and Tourette Syndrome, this book covers all the information you need, whilst reminding us that all neurodivergent children are individuals and have different qualities. Diana provides an overview of each identity and evaluates how you may need to adapt your levels of support in the classroom - as well as practical suggestions for modifying teaching materials and methods to make learning enjoyable, effective and accessible for all students. There are also dedicated chapters on helping students with SpLD's to improve their organisation and develop effective revision skills and exam techniques.

Encyclopedia of Distance Learning, Second Edition

Author : Rogers, Patricia L.
Publisher : IGI Global
ISBN 13 : 1605661996
Total Pages : 2612 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Encyclopedia of Distance Learning, Second Edition by : Rogers, Patricia L.

Download or read book Encyclopedia of Distance Learning, Second Edition written by Rogers, Patricia L. and published by IGI Global. This book was released on 2009-01-31 with total page 2612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers comprehensive coverage of the issues, concepts, trends, and technologies of distance learning.

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 0080890369
Total Pages : 665 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2011-02-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Foundations of Machine Learning, second edition

Author : Mehryar Mohri
Publisher : MIT Press
ISBN 13 : 0262351366
Total Pages : 505 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri

Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Designs for Living and Learning, Second Edition

Author : Deb Curtis
Publisher : Redleaf Press
ISBN 13 : 1605543721
Total Pages : 358 pages
Book Rating : 4.6/5 (55 download)

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Book Synopsis Designs for Living and Learning, Second Edition by : Deb Curtis

Download or read book Designs for Living and Learning, Second Edition written by Deb Curtis and published by Redleaf Press. This book was released on 2014-12-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling source of inspiration for early childhood professionals designing learning environments; updated with all new photographs and fresh content

What Every Postdoc Needs To Know (Second Edition)

Author : Liz Elvidge
Publisher : World Scientific
ISBN 13 : 1800615698
Total Pages : 302 pages
Book Rating : 4.8/5 (6 download)

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Book Synopsis What Every Postdoc Needs To Know (Second Edition) by : Liz Elvidge

Download or read book What Every Postdoc Needs To Know (Second Edition) written by Liz Elvidge and published by World Scientific. This book was released on 2024-07-05 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinking of starting a postdoc? Want to know how to move on from a postdoc? Or simply want to make the best of your postdoc years? Being a postdoc is not a career... but it can be the pivotal point in the making of one. This friendly, practical, and occasionally humorous guide to all things postdoc combines the three authors' vast experience of postdoc careers and personal development.This is a guide to developing, advancing and furthering yourself and your career. In working through exercises, learning from the experience of others (including the trials and tribulations of the authors) and seeking out information, we hope you will consider what success means on your own terms.Your postdoc is part of the journey towards a range of career destinations, from industrial R&D specialist to politician, from lecturer to spin-out Chief Executive, and this book is designed to help you get there. Providing indispensable advice on UK-based postdocs for national and international students, it is perfect for those making exciting transitions (student to postdoc, postdoc to the wide world of careers beyond) or for those who simply want to take their postdoc up a gear.This Second Edition includes new material exploring the importance of collaborations, enterprise career routes and research impact.

Cuba: What Everyone Needs to Know

Author : Julia E Sweig
Publisher : Oxford University Press, USA
ISBN 13 : 019974081X
Total Pages : 305 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis Cuba: What Everyone Needs to Know by : Julia E Sweig

Download or read book Cuba: What Everyone Needs to Know written by Julia E Sweig and published by Oxford University Press, USA. This book was released on 2009-06-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever since Fidel Castro assumed power in Cuba in 1959, Americans have obsessed about the nation ninety miles south of the Florida Keys. America's fixation on the tropical socialist republic has only grown over the years, fueled in part by successive waves of Cuban immigration and Castro's larger-than-life persona. Cubans are now a major ethnic group in Florida, and the exile community is so powerful that every American president has kowtowed to it. But what do most Americans really know about Cuba itself? In Cuba: What Everyone Needs to Know, Julia Sweig, one of America's leading experts on Cuba and Latin America, presents a concise and remarkably accessible portrait of the small island nation's unique place on the world stage over the past fifty years. Yet it is authoritative as well. Following a scene-setting introduction that describes the dynamics unleashed since summer 2006 when Fidel Castro transferred provisional power to his brother Raul, the book looks backward toward Cuba's history since the Spanish American War before shifting to more recent times. Focusing equally on Cuba's role in world affairs and its own social and political transformations, Sweig divides the book chronologically into the pre-Fidel era, the period between the 1959 revolution and the fall of the Soviet Union, the post-Cold War era, and-finally-the looming post-Fidel era. Informative, pithy, and lucidly written, it will serve as the best compact reference on Cuba's internal politics, its often fraught relationship with the United States, and its shifting relationship with the global community.

Leadership: All You Need To Know 2nd edition

Author : David Pendleton
Publisher : Springer
ISBN 13 : 1137554363
Total Pages : 271 pages
Book Rating : 4.1/5 (375 download)

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Book Synopsis Leadership: All You Need To Know 2nd edition by : David Pendleton

Download or read book Leadership: All You Need To Know 2nd edition written by David Pendleton and published by Springer. This book was released on 2016-07-30 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you only read one book on leadership this year, make it this one! Leadership experts David Pendleton and Adrian Furnham present an innovative model for leadership success in a turbulent world. When times are hard, leadership makes the greatest difference. This thoroughly updated second edition shows how to make the kind of difference that all organizations, both public and private sector, want and need. Early chapters show the powerful effect leadership can have on organizations; subsequent chapters present new ideas that are elegantly simple, conceptually coherent and radically different, based on the best research in the field. The ideas in this book have also been tested in major multinational organizations over recent years. The aim is to provide leaders and those who work with them with a practical guide to how to increase the effectiveness of leadership in any organization.

Introduction to Machine Learning, second edition

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262303264
Total Pages : 580 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Introduction to Machine Learning, second edition by : Ethem Alpaydin

Download or read book Introduction to Machine Learning, second edition written by Ethem Alpaydin and published by MIT Press. This book was released on 2009-12-04 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.