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: Till Brian Michael Название: Conversations with Power ISBN: 0230110584 ISBN-13(EAN): 9780230110588 Издательство: Palgrave Рейтинг: Цена: 1664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fresh out of college and just beginning his work as a syndicated columnist and a researcher at the New America Foundation, Brian Till set out to interview the former world leaders he most admired. Here, he distils their collective wisdom into key lessons for aspiring leaders of the future.
Автор: Barber Название: Bayesian Reasoning and Machine Learning ISBN: 0521518148 ISBN-13(EAN): 9780521518147 Издательство: Cambridge Academ Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.
Автор: Boden-Mcgill & King Название: Conversations About Adult Learning In Our Complex World ISBN: 1623960770 ISBN-13(EAN): 9781623960773 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14137.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: We recognise that our society and demands for lifelong learning changes rapidly, and needs to continue to be rapidly effectively infused in changing forms into the teaching and learning process. <em>Conversations about Adult Learning in Our Complex World </em>focuses on the study of adult learning to address the issues of living and learning within a complex world- the epitome of the 21st century.<br><br>Readers will find that this book is valuable for a wide variety of professors, researchers, practitioners and students in fields related to adult learning and adult education as it reveals emerging research and trends relevant for today and tomorrow. Moreover, this publication represents some of the most innovative and thoughtful scholarship resulting from the work of the Adult Higher Education Alliance and, arguably, the field of adult education.<br><br>The book is arranged thematically in five sections, each one dealing with a domain where intercultural competence and other fundamental skills may improve the learning experiences for adult learners. The sections include, The Learning Environment and Authentic Teaching, Interculturally Competent Classroom Practices, Programming for Adults—Redesigning University to Serve Adult Learners, Professional Development, Teacher Training, and Leadership Development, and Meaningful Assessment of Programs for Adults.
Автор: Gloria Latham; Robyn Ewing Название: Generative Conversations for Creative Learning ISBN: 3319605186 ISBN-13(EAN): 9783319605180 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book builds on conversations between the author educators and other experts in the field, including authors, illustrators and teachers, to explore the benefits of discussions around quality literature within a classroom context that exercises the imagination and generates new ideas and discoveries.
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: Tiersma Peter Meijes, Solan Lawrence, Ainsworth Ja Название: Speaking of Language and Law: Conversations on the Work of Peter Tiersma ISBN: 0199334188 ISBN-13(EAN): 9780199334186 Издательство: Oxford Academ Рейтинг: Цена: 11405.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a selection of twelve of Peter Tiersma`s most influential publications, divided into five thematic areas that are critical to both law and linguistics.
Автор: Danielson Charlotte F., Arneson Mary Shelly Название: Talk about Teaching!: Leading Professional Conversations ISBN: 1483373797 ISBN-13(EAN): 9781483373799 Издательство: Sage Publications Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: The books aims to help educators understand the value and power of meaningful informal conversations about teaching and to provide all educators with the "mental maps" and practical tools to enable them to conduct meaningful, although frequently informal, professional conversations about practice.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
