Creating New Learning Experiences on a Global Scale, Erik Duval; Ralf Klamma; Martin Wolpers
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: Невозможна поставка. 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: 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: Gertsen Название: Global Collaboration: Intercultural Experiences and Learning ISBN: 0230289436 ISBN-13(EAN): 9780230289437 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers qualitative studies of collaboration processes conducted in globalising companies based in Denmark and with subsidiaries in Asia. It addresses the specific contexts of collaboration and studies how people with different cultural backgrounds work together, both face-to-face and in the virtual workplace.
Название: Creating the Coding Generation ISBN: 1138681199 ISBN-13(EAN): 9781138681194 Издательство: Taylor&Francis Рейтинг: Цена: 33670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This indispensable guide brings together an eclectic mix of industry innovators and experts to show how you can bring the world of coding to your practice. With a range of inspirational ideas from demystifying algebra in maths, to designing digital storytelling, as well as an insight into the global movement of free coding clubs for young people.
Автор: Lanier Lee Название: Creating Visual Effects in Maya ISBN: 041583418X ISBN-13(EAN): 9780415834186 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Невозможна поставка. Описание:
Produce mind-blowing visual effects with Autodesk Maya. Gain the practical skills and knowledge you need to recreate phenomena critical to visual effects work, including fire, water, smoke, explosions, and destruction, as well as their integration with real-world film and video.
In Creating Visual Effects in Maya, Maya master Lee Lanier has combined the latest studio techniques with multi-chapter, hands-on projects and professionally-vetted workflows to bolster your CG toolkit. Engaging, full-color tutorials cover:
Creating foliage, fire, and smoke with Paint Effects
Growing Maya Fur and nHair on clothing, characters, and sets
Replicating water, smoke, sparks, swarms, bubbles, and debris with nParticles and nCloth
Controlling scenes and simulations with expressions and MEL, Python, and PyMEL scripting
Adding dust, fog, smoke, rippling water, and fireballs with Fluid Effects containers
Creating damage with Effects presets, deformers, and animated textures
Matchmoving and motion tracking with Maya and MatchMover
Creating complex destruction by combining rigid bodies, nParticles, nCloth, and Fluid Effects
Setting up, rendering, and compositing mental ray render passes with Autodesk Composite, Adobe After Effects, and The Foundry Nuke
The companion website (www.focalpress.com/cw/lanier) features a treasure trove of Maya, MatchMover, After Effects, and Nuke project files, image sequences, texture bitmaps, and MEL, Python, and PyMEL scripts, allowing you to immediately apply the techniques taught in the book.
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: Ellis, Robert Goodyear, Jeffrey Название: Students` experiences of e-learning in higher education ISBN: 0415989353 ISBN-13(EAN): 9780415989350 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Helps higher education instructors and university managers understand how e-learning relates to, and can be integrated with, other student experiences of learning. This book emphasizes the importance of how students interpret the challenges set before them, along with their conceptions of learning and their approaches to learning.
Автор: Fink L Dee Название: Creating Significant Learning Experiences ISBN: 1118124251 ISBN-13(EAN): 9781118124253 Издательство: Wiley Рейтинг: Цена: 34850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this thoroughly updated edition of L. Dee Fink s bestselling classic, he discusses new research on how people learn, active learning, and the effectiveness of his popular model; adds more examples from online teaching; and further focuses on the impact of student engagement on student learning.
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