Student Learning and Academic Understanding, Entwistle, Noel
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: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: MIT Press Рейтинг: Цена: 18622.00 р. 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: Stellman Andrew, Greene Jennifer Название: Learning Agile: Understanding Scrum, XP, Lean, and Kanban ISBN: 1449331920 ISBN-13(EAN): 9781449331924 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Agile revolutionized the way people think about developing software, but there are literally dozens of ways that you can "go agile." This book demystifies agile methodologies: why they`re designed the way they are, what problems they address, and the values, principles, and ideas they embody
Автор: Graham Douglas Название: Macleod`s Clinical Examination, 13th Edition With STUDENT CONSULT Online Access ISBN: 0702047287 ISBN-13(EAN): 9780702047282 Издательство: Elsevier Science Рейтинг: Цена: 5570.00 р. 7957.00-30% Наличие на складе: Есть (1 шт.) Описание: Sets out clearly and concisely how to evaluate symptoms and elicit relevant physical signs. This title describes the practical skills which every clinician must acquire and develop in order to evolve diagnostic procedures and management strategies and plans.
Автор: R. Carter Hill Название: Principles of econometrics, international student version, 4th edition ISBN: 0470873728 ISBN-13(EAN): 9780470873724 Издательство: Wiley Рейтинг: Цена: 4878.00 р. 6968.00-30% Наличие на складе: Есть (1 шт.) Описание: Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
Автор: Locke, Jo Bircher, Paul, Ann Fullick Название: AS Level Biology A for OCR Year 1 Student Book. ISBN: 0198351917 ISBN-13(EAN): 9780198351917 Издательство: Oxford Education Рейтинг: Цена: 6881.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by curriculum and specification experts, this Student Book supports and extends students through their course while delivering the breadth, depth, and skills needed to succeed at A Level and beyond. It develops true subject knowledge while also developing essential exam skills.
Автор: Fuller, Fran Fisher, Michael Parker, Dawn Wakefield-Warren, Jennifer Название: A Level Advancing Biology for OCR B, Year 2 Student Book ISBN: 0198357672 ISBN-13(EAN): 9780198357674 Издательство: Oxford Education Рейтинг: Цена: 7970.00 р. Наличие на складе: Поставка под заказ.
Описание: Written by curriculum and specification experts, this Student Book supports and extends students through the new course while delivering the breadth, depth, and skills needed to succeed in the new A Level and beyond. It develops true subject knowledge while also developing essential exam skills.
Описание: * The new edition of the best-selling, calculus-based introductory Physics text. * Robust online homework system includes ALL end of chapter problems in the book plus more online * Chapters were restructured into modules based on a primary concept.
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.
Emotions play a critical role in mathematical cognition and learning. Understanding Emotions in Mathematical Thinking and Learning offers a multidisciplinary approach to the role of emotions in numerical cognition, mathematics education, learning sciences, and affective sciences. It addresses ways in which emotions relate to cognitive processes involved in learning and doing mathematics, including processing of numerical and physical magnitudes (e.g. time and space), performance in arithmetic and algebra, problem solving and reasoning attitudes, learning technologies, and mathematics achievement. Additionally, it covers social and affective issues such as identity and attitudes toward mathematics.
Covers methodologies in studying emotion in mathematical knowledge
Reflects the diverse and innovative nature of the methodological approaches and theoretical frameworks proposed by current investigations of emotions and mathematical cognition
Includes perspectives from cognitive experimental psychology, neuroscience, and from sociocultural, semiotic, and discursive approaches
Explores the role of anxiety in mathematical learning
Synthesizes unifies the work of multiple sub-disciplines in one place
Описание: Each facet of the teaching and learning environment is illustrated with quotations from the three groups of students, resulting in a guide to configuring a teaching and learning environment conducive to motivating students.
Автор: Shalev-Shwartz Название: Understanding Machine Learning ISBN: 1107057132 ISBN-13(EAN): 9781107057135 Издательство: Cambridge Academ Рейтинг: Цена: 13874.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the `hows` and `whys` of machine-learning algorithms, making the field accessible to both students and practitioners.
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