understanding machine learning from theory to algorithms

Understanding Machine Learning From Theory to Algorithms

ISBN: , SKU: , AUTHOR: Shai Ben David Shai Shalev Shwartz, PUBLISHER: Cambridge University Press, NA

Statistical Learning Theory

Come nuovo. Volume universitario sulla teoria statistica dell'autoapprendimento di Vapkin. Vendo causa errato acquisto. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

Algorithmic Learning Theory - Alt '92: Third Workshop, Alt

ISBN: , SKU: , AUTHOR: Doshita, Shuji / Furukawa, Koichi / Jantke, Klaus P., PUBLISHER: Springer, This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October . In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.

Brain-Based Learning & Teaching

ISBN: , SKU: , AUTHOR: Jensen, Eric, PUBLISHER: Brain Store, A successful approach to learning means learning smarter, not harder. The goal of attaining maximum attention, understanding, meaning, and memory are presented in this piece as fundamentals to brain-based learning.

Machine Learning and Statistics: The Interface

ISBN: , SKU: , AUTHOR: Nakhaeizadeh, Gholamreza / Taylor, C. C. / Nakhaeizadeh, G., PUBLISHER: Wiley-Interscience, The interface between statistics and machine learning (ML) is an increasingly popular research subject, as scientists and statisticians discover useful areas where these disciplines overlap. ML deals primarily with learning rules or structure, and while some books on the subject exist, this volume is the only one to integrate ML with statistics. It explores new areas where theory and methods can be shared and demonstrates the benefits to those working in either discipline. Written by leading experts in both fields, Machine Learning and Statistics is a result of the authors' participation in the European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods of knowledge discovery in databases--a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers--useful for those working with credit scoring and bad debt analysis. Machine Learning and Statistics is an invaluable resource for researchers involved with artificial intelligence and ML in academia, government, or industry, as well as those working with pattern recognition in statistical departments; for students at the graduate level who seek to expand their horizons; and for anyone who would like to learn more about these cutting-edge methodologies. The first book to explore the theory, methods, and applications of the relationship between machine learning and statistics. Here is the first book to address the growing demand for applications that integrate machine learning and statistics. The only text to focus on the interface between the two disciplines, this volume explores a mutually beneficial relationship that is fast becoming recognized by scientists, engineers, and researchers in data analysis and intelligent systems worldwide. The book shows that machine learning shares several areas of common research with statistics, most notably classification, prediction, and control. It demonstrates that statistical and probability methodologies can be applied in developing different machine learning algorithms and that these algorithms can

Algorithms and Computation: 19th International Symposium,

ISBN: , SKU: , AUTHOR: Hong, Seok-Hee, PUBLISHER: Springer, This book constitutes the refereed proceedings of the 19th International Symposium on Algorithms and Computation, ISAAC , held in Gold Coast, Australia in December . The 78 revised full papers together with 3 invited talks presented were carefully reviewed and selected from 229 submissions for inclusion in the book. The papers are organized in topical sections on approximation algorithms, online algorithms, data structure and algorithms, game theory, graph algorithms, fixed parameter tractability, distributed algorithms, database, approximation algorithms, computational biology, computational geometry, complexity, networks, optimization as well as routing. Acquista Ora

Mining the Web: Discovering Knowledge from Hypertext Data

ISBN: , SKU: , AUTHOR: Chakrabarti, Soumen, PUBLISHER: Morgan Kaufmann Publishers, Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing-Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work-painstaking, critical, and forward-looking-readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort. * A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining. * Details the special challenges associated with analyzing unstructured and semi-structured data. * Looks at how classical Information Retrieval techniques have been modified for use with Web data. * Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning. * Analyzes current applications for resource discovery and social network analysis. * An excellent way to introduce students to especially vital applications of data mining and machine learning technology.

Social Learning Theory and the Explanation of Crime

ISBN: , SKU: , AUTHOR: Akers, Ronald L. / Jensen, Gary F., PUBLISHER: Transaction Publishers, Social learning theory has been called the dominant theory of crime and delinquency in the United States, yet it is often misrepresented. This latest volume in the distinguished Advances in Criminological Theory series explores the impact of this theory. Some equate it with differential association theory. Others depict it as little more than a micro-level appendage to cultural deviance theories. There have been earlier attempts to clarify the theory's unique features in comparison to other theories, and others have applied it to broader issues. These efforts are extended in this volume, which focuses on developing, applying, and testing the theory on a variety of criminal and delinquent behavior. It applies the theory to treatment and prevention, moving social learning into a global context for the twenty-first century. This comprehensive volume includes the latest work, tests, and theoretical advances in social learning theory and will be particularly helpful to criminologists, sociologists, and psychologists. It may also be of interest to those concerned with current issues relating to delinquency, drug use/abuse, and drinking/alcohol abuse.

How to Differentiate Learning: Curriculum, Instruction,

ISBN: , SKU: , AUTHOR: Fogarty, Robin / Pete, Brian M., PUBLISHER: Corwin Press, "How to Differentiate Learning" provides guidance for schools and districts to start or improve the effort to differentiate instruction. Based on what educators know about the differences among children they teach, and based on what we know of brain research, teachers must find and embrace ways to differentiate curriculum, assessment and entry points to understanding in order to make all students successful. This book provides background from experts and clarifies what is not differentiation as well as what is. It offers ways for teachers to think about student interests and learning profiles and also looks at varied ways to approach instructional planning for differentiated learning.

Nodal Discontinuous Galerkin Methods: Algorithms, Analysis,

ISBN: , SKU: , AUTHOR: Hesthaven, Jan S. / Warburton, Tim, PUBLISHER: Springer, This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for the solution of partial differential equations. It covers all key theoretical results, including an overview of relevant results from approximation theory, convergence theory for numerical PDE's, and orthogonal polynomials. Through embedded Matlab codes, coverage discusses and implements the algorithms for a number of classic systems of PDE's: Maxwell's equations, Euler equations, incompressible Navier-Stokes equations, and Poisson- and Helmholtz equations.

Digital Media Revisited: Theoretical and Conceptual

ISBN: , SKU: , AUTHOR: Liestol, Gunnar / Morrison, Andrew / Rasmussen, Terje, PUBLISHER: MIT Press (MA), Arguing that "first encounters" have already applied traditional theoretical and conceptual frameworks to digital media, the contributors to this book call for "second encounters," or a revisiting. Digital media are not only objects of analysis but also instruments for the development of innovative perspectives on both media and culture. Drawing on insights from literary theory, semiotics, philosophy, aesthetics, ethics, media studies, sociology, and education, the contributors construct new positions from which to observe digital media in fresh and meaningful ways. Throughout they explore to what extent interpretation of and experimentation with digital media can inform theory. It also asks how our understanding of digital media can contribute to our understanding of social and cultural change. The book is organized in four sections: Education and Interdisciplinarity, Design and Aesthetics, Rhetoric and Interpretation, and Social Theory and Ethics. The topics include the effects on reading of the multimodal and multisensory aspects of the digital environment, the impact of practice on the medium of theory, how digital media are dissolving the boundaries between leisure and work, and the impact of cyberspace on established ethical principles.

Adaptive and Natural Computing Algorithms: 8th International

ISBN: , SKU: , AUTHOR: Beliczynski, Bartlomiej / Dzielinski, Andrzej / Iwanowski, Marcin, PUBLISHER: Springer, The two volume set LNCS and LNCS constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA , held in Warsaw, Poland, in April . The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions. The 94 papers of the first volume are organized in topical sections on evolutionary computation, genetic algorithms, particle swarm optimization, learning, optimization and games, fuzzy and rough systems, just as classification and clustering. The second volume contains 84 contributions related to neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision, as well as to control and robotics.

E-Learning Theory and Practice

ISBN: , SKU: , AUTHOR: Haythornthwaite, Caroline / Andrews, Richard, PUBLISHER: Sage Publications (CA), In" "E-learning Theory and Practice the authors set out different perspectives on e-learning. The book deals with the social implications of e-learning, its transformative effects, and the social and technical interplay that supports and directs e-learning. The authors present new perspectives on the subject by exploring the way teaching and learning are changing with the presence of the Internet and participatory media; providing a theoretical grounding in new learning practices from education, communication and information science; addressing e-learning in terms of existing learning theories, emerging online learning theories, new literacies, social networks, social worlds, community and virtual communities, and online resources; and emphasizing the impact of everyday electronic practices on learning, literacy and the classroom, locally and globally.This book is for everyone involved in e-learning including teachers, educators, graduate students and researchers.

Logical Learning Theory: A Human Teleology and Its Empirical

ISBN: , SKU: , AUTHOR: Rychlak, Joseph F., PUBLISHER: University of Nebraska Press, In , B. F. Skinner told Joseph Rychlak that the greatest disappointment resulting from the "cognitive revolution" was the turning of the human organism into a machine. Intrigued by this statement, Rychlak decided that after many years of formulation it was time to present his fundamentally teleological view of the human being, which he calls the "logical learning theory" (LLT). In this new theoretical perspective the author re-presents such concepts as intention, purpose, and free will. Significant aspects of the "mind-body" issue are explored here. Rychlak addresses teleological issues and provides a language for proper conceptualization. He uses experimental findings to support the notion of behavior as self-directed rather than mechanistic. In the process, Rychlak places LLT on the side of teleological explanation, in which concepts like free will, self-choice, purpose and intention are no longer dismissed. Rychlak compares LLT and existing formulations of behavior, including classical and operant conditioning, social learning theory, social constructionism, cognitive science, gestalt theories, and personality theories. Extensive research data and thorough discussions support Rychlak's theory. A glossary is also included.

Emerging Technologies for the Classroom: A Learning Sciences

ISBN: , SKU: , AUTHOR: LaVigne, Nancy / Mouza, Chrystalla, PUBLISHER: Springer, This book provides contemporary examples of the ways in which educators can use digital technologies to create effective learning environments that support improved learning and instruction. These examples are guided by multiple conceptual and methodological traditions evolving from the learning sciences and instructional technology communities as well as other communities doing important work on learning technologies. In particular, the book provides examples of technology innovations and the ways in which educators can use them to foster deep understanding, collaboration, creativity, invention, and reflection. Additional examples demonstrate the ways in which emerging mobile and networked technologies can help extend student learning beyond the confines of the classroom wall and support student-directed learning and new media literacies.

Math Common Core Student Edition Transition Kit Grade 5

ISBN: , SKU: , PUBLISHER: Pearson Scott Foresman, Envision a math program that engages your students as it strengthens their understanding of math. enVisionMATH uses problem based interactive learning and visual learning to deepen conceptual understanding. It incorporates bar diagram visual tools to help students be better problem solvers, and it provides data-driven differentiated instruction to ensure success for every student. The best part, however, is that this success is proven by independent, scientific research. Envision more, enVisionMATH

The Intelligent Student's Guide to Learning at University

ISBN: , SKU: , AUTHOR: Cooper, Geoffrey, PUBLISHER: Common Ground Publishing, You're about to start a university degree, and whether you have just left school or are returning to study after some years there are many things you need to know about learning at university. This invaluable guide will assist you to understand all facets of your university study and to become a successful and satisfied student. It will enable you to: become an active, independent and self-directed learner; adjust to the academic expectations (of ten assumed and unspoken) and the university environment; gain practical skills and strategies for learning: develop transferable skills and attitudes for lifelong learning; concentrate on understanding as the key to university learning; be self-confident as a university student; avoid some of the common mistakes made by students in their first year; and become a successful learner. Reflection and evaluation exercises at the beginning of each chapter provide an opportunity to evaluate your current learning habits, prepare you for new ideas and make you more aware of the experience of learning. Advice from other students-genuine voices taken from a survey of exiting first year students-will assist you to see some of the pitfalls and methods of recovery. Finally, useful templates for a weekly study timetable, testtaking strategies and a semester planner are also provided.

Instructor's Edition Organizational Theory: A Strategic

ISBN: , SKU: , AUTHOR: Lester, Donald / Parnell, John A., PUBLISHER: Atomic Dog Publishing, In Organizational Theory: A Strategic Perspective, authors Donald Lester and John Parnell present the major theoretical perspectives that have contributed to our understanding of organizations in a clear, engaging style. The text presents the concepts of organizational theory from a strategic perspective. These concepts are not only the foundation for understanding organizations, they are also the basis for managing them effectively. Current examples appear throughout the text, and the ?Best Practice? features in each chapter highlight specific companies and show how they strategically manage key concepts of organizational theory. The authors also provide students with ?real world? applications in the ?Career Points? features. Seven cases are included at the end of the text for in-depth study.

The Transfer of Cognitive Skill

ISBN: , SKU: , AUTHOR: Singley, Mark K. / Anderson, John R., PUBLISHER: Harvard University Press, Does a knowledge of Latin facilitate he learning of computer programming? Does skill in geometry make it easier to learn music? The issue of the transfer of learning from one domain to another is a classic problem in psychology as well as an educational question of great importance, which this ingenious new book sets out to solve through a theory of transfer based on a comprehensive theory of skill acquisition. The question was first studies systematically at the turn of the century by the noted psychologist Edward L. Thorndike, who proposed a theory of transfer based on common elements in two different tasks. Since then, psychologists of different theoretical orientations--verbal learning, gestalt, and information processing--have addressed the transfer question with differing and inconclusive results. Singley and Anderson resurrect Thorndike's theory of identical elements, but in a broader context and from the perspective of cognitive psychology. Making use o a powerful knowledge-representation language, they recast his elements into units of procedural and declarative knowledge in the ACT* theory of skill acquisition. One skill will transfer to another, they argue, to the extent that it involves the same productions or the same declarative precursors. They show that with production rules, ransfer can be localized to specific components--in keeping with Thorndike's theory--and yet still be abstract and mentalistic. The findings of this book have important implications for psychology and the improvement of teaching. They will interest cognitive scientists and educational psychologists, as well as computer scientists interested in artificial intelligence and cognitive modeling.

Understanding Business Organisations

ISBN: , SKU: , AUTHOR: Salaman, Graeme, PUBLISHER: Routledge, Despite sweeping changes in organisational theory and practice, most productive activity still takes place within organisations. This volume makes it clear that despite waves of change, organisational theory remains vially relevant to todays student of business. This book introduces the student to classic debates and new perspectives on organisations through a wide ranging but approachable selection of readings. It: considers why organisations matter to employees and customers discusses theories of the organisation as a mode of empowerment and of control Examining these theories in the light of current programmes of organisational change, gives the book a case study element that will be invaluable for teaching and learning

Fluency in Distance Learning (PB)

ISBN: , SKU: , AUTHOR: Fenton, Celeste / Watkins, Brenda, PUBLISHER: Information Age Publishing, Fluency in Distance Learning offers a practical, hands-on, workshop style approach to creating an effective distance learning course. Full of specific ideas and strategies, the authors guide you through the process from beginning to end. Specific instructions are provided for setting up a course home page, developing interactive content, and utilizing a variety of multimedia resources. Chapters are focused on the following topics: Introduction: Insights into Distance Learning Chapter 1: KSA: Knowledge, Skills, and Attitudes of Effective Distance Learning Instructors Chapter 2: Active Learning in Online Courses Chapter 3: Multimedia in Online Teaching: Creating Dynamic Content Chapter 4: Communication is Key Chapter 5: Assessment doesn't have to be a four letter word: TEST Chapter 6: Organizing and Designing Course Pages Fluency in Distance Learning distinguishes itself from other publications on distance learning with its straightforward, practical workshop format. Specific strategies and examples of effective distance learning course materials help instructors to build a quality distance learning course quickly and effectively regardless of the learning management system being used. A companion website contains multimedia files and interactive exercises to enhance the reader's learning and understanding of distance learning pedagogy and content development for online courses. In addition, all the necessary media files for trainers to deliver a series of professional development workshops on distance learning, are also available. Potential audiences include: Instructors in need of a textbook for a course focused on distance learning pedagogy; Instructors in need of a textbook for distance learning certification courses; Instructors desiring to transform traditional instructional materials to an effective distance learning delivery format; Administrators with a need to provide professional development training to distance learning faculty; Professional development staff who provide training in distance learning pedagogy, content development, and facilitation strategies. Instructional designers with responsibility of working with faculty to develop online course(s)

Learning to Revolt: The Role of Students in the National

ISBN: , SKU: , AUTHOR: Natsis, James J., PUBLISHER: University Press of America, This historical monograph offers a unique look at the independence movement in Tunisia, during French colonial rule, from a perspective largely neglected by scholars: the voice of the students who were major participants. The experience of Tunisia's students lends to a better comprehension of the relationship between Western education and the inception and development of a nationalist movement. James Natsis takes a sweeping look at student/youth associations and organizations from their beginnings in to independence in . The theoretical framework of this study is based on colonial educational policy and its resulting effects on conflict theory and alienation theory. Natsis also considers the impact of external influences such as Communism and Pan-Arabism.

The Big Bang Theory Borsa Tracolla Bag I Am Immune To Your

Straight from the cool The Big Bang Theory-world comes this officially licensed bag!100% PVCDimensions: 27 x 35 cm

The Social Market Economy: Theory and Ethics of the Economic

ISBN: , SKU: , AUTHOR: Koslowski, P. / Koslowski, Peter, PUBLISHER: Springer, The social market economy forms a fundamental theory of the market economy and an integrated economic and ethical theory of the economic order in which the political and societal conditions for the working of the market are included in the theory of the market economy. The social market economy is presented as a universal theory of the decisions to be made about the economic order in all cultures and is analysed in its basic theoretical foundations and in its application to the transition process from the planned to the market economy, particulary in the privatisation of socialised property in Russia and former East Germany. Leading German and Russian experts in the field as well as four classical texts present a systematic analysis of the social market economy from the point of view of economics, law, and ethics.

Everyday Thoughts about Nature: A Worldview Investigation of

ISBN: , SKU: , AUTHOR: Cobern, William W. / Cobern, W. W., PUBLISHER: Springer, The primary goal of Everday Thoughts about Nature is to understand how typical ninth-grade students and their science teachers think about Nature or the natural world, and how their thoughts are related to science. In pursuing this goal, the book raises a basic question about the purpose of science education for the public. Should science education seek to educate scientific thinkers' in the pattern of science teachers? Or, should science education seek to foster sound science learning within the matrices of various cultural perspectives? By carefully examining the ideas about Nature held by a group of students and their science teachers, Cobern argues that the purpose of science education for the public is to foster sound science learning within the matrices of various cultural perspectives'. Cobern's two books, World View Theory and Science Education Research and now Everyday Thoughts about Nature, provide complementary accounts of theoretical and empirical foundations for worldview theory in science education. While many graduate students and researchers have benefited from his earlier work, many more will continue to benefit from this book.

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