Handbook of Machine Learning Applications for Genomics, Roy
Автор: Goodfellow Ian, Bengio Yoshua, Courville Aaron Название: Deep Learning ISBN: 0262035618 ISBN-13(EAN): 9780262035613 Издательство: MIT Press Рейтинг: Цена: 90290.00 T 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: Pimentel Название: Handbook of Growth Factors (1994) ISBN: 1138105759 ISBN-13(EAN): 9781138105751 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Volume I of this book provides a comprehensive discussion of the factors involved in regulation of the cell cycle, the general biological properties of growth factors, and the receptor and postreceptor mechanisms of action of these signaling agents.
Автор: Fink, George Название: Stress Genetics, Epigenetics And Genomics ISBN: 012813156X ISBN-13(EAN): 9780128131565 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Поставка под заказ. Описание:
The effect of stress on our emotional and physical health can be devastating. There have been significant advances in our understanding of stress genetics and genomics, and the field of epigenetics has flourished during this time, yet many remain unfamiliar with the latest concepts on these topics. This intense public, research, and clinical interest in stress is reflected in our edited Handbook of Stress series, each volume addressing a specific area within the field of stress edited by experts in each subfield. Stress Genetics, Epigenetics, and Genomics, Volume 4 in the series, covers the influence genetics, epigenetics, and genomics have on physiologic stress and provides a quick orientation to the subject for research, clinic, and everyday life. Integrated closely with new behavioral findings and relevance to human conditions, the concepts and data in this volume offer readers cutting-edge information on the genetics of stress. This volume is of prime interest to neuroscientists, clinicians, researchers, academics, and students in Neuroendocrinology, Neuroscience, Biomedicine, Endocrinology, Psychology, Psychiatry and some aspects of the Social Sciences including stress and its management in the workplace from a preventative, diagnostic, and therapeutic perspective.
Автор: Hansch Ronny Название: Handbook of Random Forests: Theory and Applications for Remote Sensing ISBN: 9813224053 ISBN-13(EAN): 9789813224056 Издательство: World Scientific Publishing Рейтинг: Цена: 126720.00 T Наличие на складе: Невозможна поставка. Описание: This compendium provides a hands-on description of Random Forests. It starts with a consistent introduction of general methods to create, train, and fuse ensembles of decision trees. Instead of limiting the discussion to the general-purpose layout of traditional Random Forests, this book outlines specifications during tree creation and training that are especially well suited to analyze structured data such as images. The theoretical foundations are explained as well as practical and implementation issues. The many possible variations of the Random Forest model are discussed together with their implications on the prediction results to provide insights into the influence of these parameters and their possible side-effects. Last but not least, this unique title provides specific examples of the usage of Random Forests for analysing remote sensing imagery.
Автор: Mьller Peter Название: Handbook of Dynamics and Probability ISBN: 3030884856 ISBN-13(EAN): 9783030884857 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Our time is characterized by an explosive growth in the use of ever more complicated and sophisticated (computer) models. These models rely on dynamical systems theory for the interpretation of their results and on probability theory for the quantification of their uncertainties. A conscientious and intelligent use of these models requires that both these theories are properly understood. This book is to provide such understanding. It gives a unifying treatment of dynamical systems theory and probability theory. It covers the basic concepts and statements of these theories, their interrelations, and their applications to scientific reasoning and physics. The book stresses the underlying concepts and mathematical structures but is written in a simple and illuminating manner without sacrificing too much mathematical rigor. The book is aimed at students, post-docs, and researchers in the applied sciences who aspire to better understand the conceptual and mathematical underpinnings of the models that they use. Despite the peculiarities of any applied science, dynamics and probability are the common and indispensable tools in any modeling effort. The book is self-contained, with many technical aspects covered in appendices, but does require some basic knowledge in analysis, linear algebra, and physics. Peter M?ller, now a professor emeritus at the University of Hawaii, has worked extensively on ocean and climate models and the foundations of complex system theories.
Название: Handbook of Cluster Analysis ISBN: 1466551887 ISBN-13(EAN): 9781466551886 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.
The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.
This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.
Автор: Marwala Tshilidzi, Leke Collins Achepsah Название: Handbook Of Machine Learning - Volume 2: Optimization And Decision Making ISBN: 9811205663 ISBN-13(EAN): 9789811205668 Издательство: World Scientific Publishing Рейтинг: Цена: 126720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.
Автор: Peter Buhlmann, Petros Drineas, Michael Kane, Mark van der Laan Название: Handbook of Big Data ISBN: 0367330733 ISBN-13(EAN): 9780367330736 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Невозможна поставка. Описание: This handbook provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from statistics and computer science experts in industry and academia, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.
Автор: Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg Название: Handbook of Mixed Membership Models and Their Applications ISBN: 0367330849 ISBN-13(EAN): 9780367330842 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Невозможна поставка. Описание: This handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.
Curious To Know More About Python Programming And Would Like To Go Proficient? Then Learn From The Best Tips and Tricks Laid Down In This Powerful Handbook!
Автор: Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary Название: Handbook of Research on Deep Learning Innovations and Trends ISBN: 1522578625 ISBN-13(EAN): 9781522578628 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 287370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academicians.
Название: Handbook of research on emerging trends and applications of machine learning ISBN: 1522596437 ISBN-13(EAN): 9781522596431 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 335410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, the book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science.
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