Participation and Learning, Alan Reid; Bjarne Bruun Jensen; Jutta Nikel; Venka
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 11878.00 р. 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: David J. C. MacKay Название: Information Theory, Inference and Learning Algorithms ISBN: 0521642981 ISBN-13(EAN): 9780521642989 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This exciting and entertaining textbook is ideal for courses in information, communication and coding. It is an unparalleled entry point to these subjects for professionals working in areas as diverse as computational biology, data mining, financial engineering and machine learning.
Автор: Goodfellow Ian, Bengio Yoshua, Courville Aaron Название: Deep Learning ISBN: 0262035618 ISBN-13(EAN): 9780262035613 Издательство: MIT Press Рейтинг: Цена: 13543.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. 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: Judith D. Chapman; Patricia Cartwright; E. Jacquel Название: Lifelong Learning, Participation and Equity ISBN: 9048173396 ISBN-13(EAN): 9789048173396 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In many countries, schools, universities and other traditional learning institutions are not providing for the educational needs of all members of the community. This book addresses the challenge of identifying effective ways of accommodating the learning needs of all people and in so doing achieving the goals of lifelong learning for all.
Автор: Ellen Boeren Название: Lifelong Learning Participation in a Changing Policy Context ISBN: 1137441828 ISBN-13(EAN): 9781137441829 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on the role of the individual adult, education and training institutions and countries` social policy actions, and borrowing insights from psychology, sociology and economics, this book presents an interdisciplinary theory exploring why adults do or do not participate in lifelong learning activities.
Автор: Alan Reid; Bjarne Bruun Jensen; Jutta Nikel; Venka Название: Participation and Learning ISBN: 9048176336 ISBN-13(EAN): 9789048176335 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This ground-breaking collection brings together a range of perspectives on the philosophy, design and experience of participatory approaches within education and the environment, health and sustainability. Authors combine reflections on experience, models and case studies of participatory education with commentary on key debates and issues.
Описание: The Children`s Laureate and best-selling author of The Gruffalo, Julia Donaldson, has carefully created the Songbirds Phonics series to support children who are learning to read. This pack of Phonics Games flashcards provide great games to play with your child at home to build their reading skills and phonics knowledge.
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: Lieberman, Ann Campbell, Carol Yashkina, Anna Название: Teacher Learning and Leadership: Of, By, and For Teachers ISBN: 1138941883 ISBN-13(EAN): 9781138941885 Издательство: Taylor&Francis Рейтинг: Цена: 6430.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how teachers should be put at the center of creating, developing, organizing, implementing, and sharing their own ideas for school change rather than being passive recipients of knowledge from the outside. The book provides an important model for school change led by teachers, rather than experts.
Описание: This book makes an important contribution to contemporary debates over the place of civic participation in democratic theory and practice. Drawing on a detailed case study of the Blackbird Leys area of Oxford, the book employs a novel empirical approach to ask whether widespread participation in civic life can enhance the prospects for democracy, given the low levels of participation which tend to exist in deprived areas. Throughout, it presents an account of participation rooted in the history and development of the case, in order to avoid the kinds of abstraction which are characteristic of many existing studies in the area. The book will appeal to scholars working on democratic theory in applied settings, and will be of interest to anyone concerned with inequalities in civic participation.
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