Language for learning mathematics: assessment for learning in practice, Lee
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: William Herring Название: Learning Radiology: Recognizing the Basics, 3rd Edition ISBN: 0323328075 ISBN-13(EAN): 9780323328074 Издательство: Elsevier Science Рейтинг: Цена: 6336.00 р. Наличие на складе: Поставка под заказ.
Описание: A must-have for anyone who will be required to read and interpret common radiologic images, Learning Radiology: Recognizing the Basics is an image-filled, practical, and easy-to-read introduction to key imaging modalities. Skilled radiology teacher William Herring, MD, masterfully covers exactly what you need to know to effectively interpret medical images of all modalities. Learn the latest on ultrasound, MRI, CT, patient safety, dose reduction, radiation protection, and more, in a time-friendly format with brief, bulleted text and abundant high-quality images.
Then ensure your mastery of the material with additional online content, bonus images, and self-assessment exercises at Student Consult. Identify a wide range of common and uncommon conditions based upon their imaging findings. Arrive at diagnoses by following a pattern recognition approach, and logically overcome difficult diagnostic challenges with the aid of decision trees.
Quickly grasp the fundamentals you need to know through more than 700 images and an easy-to-use format and pedagogy, including: bolding of key points and icons designating special content; Diagnostic Pitfalls; Really, Really Important Points; Weblinks; and Take-Home Points. Gauge your mastery of the material and build confidence with extra images, bonus content, interactive self-assessment exercises, and USMLE-style Q&A that provide effective chapter review and quick practice for your exams. Apply the latest recommendations on patient safety, dose reduction and radiation protection Benefit from the extensive knowledge and experience of esteemed author Dr.
William Herring-a skilled radiology teacher and the host of his own specialty website, www.learningradiology.com. Stay current in the latest advancements and developments with meticulous updates throughout including a new chapter on Pediatric Radiology as well as more than 60 new and updated photos, many highlighting newer imaging modalities. Maximize your learning experience with interactive Student Consult extras videos/images of 3D images, functional imaging examinations, dynamic studies, and additional assessments.
Student Consult eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, references, and videos from the book on a variety of devices.
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: 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.
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.
Описание: This is a book which provides post-graduate students, researchers, materials developers and teachers with everything they need to know about materials development for language learning, both for the development of paper and of digital materials.
Автор: Ci Ci Stuart Название: Mentoring, Learning and Assessment in Clinical Practice, ISBN: 0702041955 ISBN-13(EAN): 9780702041952 Издательство: Elsevier Science Рейтинг: Цена: 5220.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides workable educational strategies to assist busy practitioners supervise and support the learning and assessment of learners during clinical placements, to achieve valid and reliable assessments.
Автор: Mercer Sarah Название: Psychology for Language Learning ISBN: 0230301150 ISBN-13(EAN): 9780230301153 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering a timely snapshot of current theory and research in the field of psychology in foreign language learning, this book is accessible to both specialists and non-specialists. Each chapter focuses on a different psychological construct and provides an overview of current thinking in the area drawing on insights from educational psychology.
Автор: Everhard Название: Assessment and Autonomy in Language Learning ISBN: 1137414375 ISBN-13(EAN): 9781137414373 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines this contested relationship between assessment and autonomy from a number of perspectives in a variety of Higher Education language-learning contexts in Europe and the Far East. The contributors to the book describe research into assessment both for and as autonomy, as well as approaches to the assessment of autonomy itself.
Автор: Harlen, Wynne Название: Assessment of learning ISBN: 1412935199 ISBN-13(EAN): 9781412935197 Издательство: Sage Publications Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Takes a critical look at how students` achievements are assessed for a range of purposes, from reporting progress to selection and qualification. This work considers the relationship between what is taught, and how, and what and how learning outcomes are assessed.
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