Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 76850.00 T Наличие на складе: Заказано в издательстве. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: MIT Press Рейтинг: Цена: 124150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: D`Andrea Название: Improving Teaching and Learning in Higher Education: A whole institute approach ISBN: 0335210686 ISBN-13(EAN): 9780335210688 Издательство: McGraw-Hill Рейтинг: Цена: 27220.00 T Наличие на складе: Есть Описание: What are the aims of higher education? What are the strategies necessary for institutional improvement? How might the student experience be improved? The emergence of the discourse around learning and teaching is one of the more remarkable phenomena of the last decade in higher education. Increasingly, universities are being required to pay greater attention to improving teaching and enhancing student learning. This book will help universities and colleges achieve these goals through an approach to institutional change that is well founded on both research and practical experience. By placing learning at the centre of organizational change, this book challenges many of the current assumptions about management of teaching, supporting students, the separation of research and teaching, the use of information technology and quality systems. It demonstrates how trust can be restored within higher education while advancing the need for change based on principles of equity and academic values for students and teachers alike. "Improving Teaching and Learning in Higher Education" is key reading for anyone interested in the development of teaching and learning in higher education, as well as policy makers.
Автор: Educational Testing Service Название: GRE the Official Guide to the Revised General Test 2/E (Set) ISBN: 007179123X ISBN-13(EAN): 9780071791236 Издательство: McGraw-Hill Рейтинг: Цена: 31390.00 T Наличие на складе: Невозможна поставка. Описание:
Updated and expanded, the only official guide to the GRE revised General Test--straight from the test-makers
"The Official Guide to the GRE revised General Test" is the test-makers' own guide to the revised exam launched in 2011. Now updated and expanded with more test-taking practice, this book is the most authoritative guide to all of the test features and question types. It is also packed with authentic GRE questions and answers, with two actual GRE tests in the book, two more on CD-ROM (compatible with PC systems), and the test-makers' own strategies for scoring high. "The Official Guide" is your indispensable information source for your GRE preparation.
Автор: Educational Testing Service Название: Official TOEFL Ibt(r) Tests Volume 1, 2nd Edition+DVD-ROM ISBN: 0071848444 ISBN-13(EAN): 9780071848442 Издательство: McGraw-Hill Рейтинг: Цена: 30270.00 T Наличие на складе: Невозможна поставка. Описание: Official TOEFL iBT(R) Tests Volume 1 contains five actual retired TOEFL(R) test forms with authentic TOEFL(R) reading, listening, speaking, and writing questions, now also on DVD-ROM in interactive, computerized format.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Deeley Название: Critical Perspectives on Service-Learning in Higher Education ISBN: 1137383240 ISBN-13(EAN): 9781137383242 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Through innovative analysis of theory and practice, this book offers refreshing critical perspectives on service-learning in higher education. It constructs a theoretical paradigm for service-learning which extends to critical pedagogy, and investigates critical reflection and academic reflective writing, supported throughout by empirical evidence.
Автор: Butin Название: Service-Learning in Higher Education ISBN: 1403968764 ISBN-13(EAN): 9781403968760 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advocates have positioned service-learning as a real-world, real-time opportunity for students to encounter academic knowledge in a meaningful and relevant manner. Service-learning has become a very popular alternative to standard courses in higher education and is gaining significant popularity.
Автор: Zlotkowski Название: Successful Service-Learning Programs - New Models of Excellence in Higher Education ISBN: 1882982169 ISBN-13(EAN): 9781882982165 Издательство: Wiley Рейтинг: Цена: 35890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Successful service-learning programs offer college students valuable hands-on learning experiences as they partner with their communities in cooperative service efforts.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Автор: Jagla, Furco & Strait Название: Service-Learning Pedagogy ISBN: 1623969557 ISBN-13(EAN): 9781623969554 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 50820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Service-learning is a powerful method of teaching and learning that has been used effectively for more than two decades. Its efficacy has been researched in a variety of ways and this volume continues to expand that research base. In particular, in this volume, Service-Learning Pedagogy: How Does It Measure Up?, we explore three broad areas of service-learning research and practice that reflect broader discussions of the role of pedagogy in today’s educational reform efforts: TeacherEducation, Crossing Boundaries: Deepening Relationships in Service-Learning and New Paradigms/Conceptual Frameworks.Many have called for more rigorous methods when researching service-learning pedagogy. That has been the major impetus for this volume. We seek to generate knowledge regarding service-learning pedagogy, while developing theories about it. We surface some elusive affective characteristics of the pedagogy, which we know has the power to produce transformational learning. To this end, the authors who have contributed to this volume effectively add to the growing body of knowledge in the field and help us get closer to understanding the extent to which service-learning does and does not measure up.
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