New Frontiers in Teaching and Learning English, Paola Vettorel
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.
Описание: More than 3,000 contemporary expressions cover all aspects of basic communication, for intermediate and advanced learners of English.
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: Sundqvist Название: Extramural English in Teaching and Learning ISBN: 1137460474 ISBN-13(EAN): 9781137460479 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is unique in bringing together theory, research, and practice about English encountered outside the classroom – extramural English – and how it affects teaching and learning. The book investigates ways in which learners successfully develop their language skills through extramural English and provides tools for teachers to make use of free time activities in primary and secondary education. The authors demonstrate that learning from involvement in extramural English activities tends to be incidental and is currently underutilized in classroom work. A distinctive strength is that this volume is grounded in theory, builds on results from empirical studies, and manages to link theory and research with practice in a reader-friendly way. Teacher-educators, teachers and researchers of English as a foreign language and teachers of English as a second language across the globe will find this book useful in developing their use of extramural English activities as tools for language learning.
Автор: Ryan M Damerow Kathleen M Bailey & Название: Teaching and Learning English in the Arabic-Speaking World ISBN: 0415735645 ISBN-13(EAN): 9780415735643 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contributing to the emerging body of research-based knowledge about teaching English to native speakers of Arabic, this volume presents empirical studies carried out in Egypt, Lebanon, Oman, Palestine, Saudi Arabia, and the United Arab Emirates.
Автор: Shepard Wong Название: Christian Faith and English Language Teaching and Learning ISBN: 0415898951 ISBN-13(EAN): 9780415898959 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the possible role and impact of teachers` and students` faith in the English language classroom.
Автор: Cook, Vivian Название: Second language learning and language teaching ISBN: 0340958766 ISBN-13(EAN): 9780340958766 Издательство: Taylor&Francis Рейтинг: Цена: 3673.00 р. Наличие на складе: Поставка под заказ.
Описание: Second Language Learning and Language Teaching" remains the essential textbook for all student teachers of modern languages and TESOL as well as applied linguistics.
Описание: Containing more than 7,000 phrases, this dictionary covers situations from talking to a doctor to ordering a meal, and helps learners communicate personal feelings, and make small talk.
Название: Oxford English Dictionary for Schools ISBN: 0192756990 ISBN-13(EAN): 9780192756992 Издательство: Oxford Education Рейтинг: Цена: 1978.00 р. Наличие на складе: Поставка под заказ.
Описание: The Oxford English Dictionary for Schools is carefully targeted to support secondary school students with their independent reference skills, to improve their spelling, punctuation, and grammar, and to build vocabulary. Ideal support for Controlled Assessments.
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.
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