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Deep Learning in Time Series Analysis

Deep Learning in Time Series Analysis

Deep learning is an important element of artificial intelligence especially in applications such as image classification in which various architectures of neural network e. g. convolutional neural networks have yielded reliable results. This book introduces deep learning for time series analysis particularly for cyclic time series. It elaborates on the methods employed for time series analysis at the deep level of their architectures. Cyclic time series usually have special traits that can be employed for better classification performance. These are addressed in the book. Processing cyclic time series is also covered herein. An important factor in classifying stochastic time series is the structural risk associated with the architecture of classification methods. The book addresses and formulates structural risk and the learning capacity defined for a classification method. These formulations and the mathematical derivations will help the researchers in understanding the methods and even express their methodologies in an objective mathematical way. The book has been designed as a self-learning textbook for the readers with different backgrounds and understanding levels of machine learning including students engineers researchers and scientists of this domain. The numerous informative illustrations presented by the book will lead the readers to a deep level of understanding about the deep learning methods for time series analysis. | Deep Learning in Time Series Analysis

GBP 115.00
1

The Subject of Addiction Psychoanalysis and The Administration of Enjoyment

Concise Introduction to Logic and Set Theory

Multilingual Fiction Series Genres Geographies and Performances

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations Two Volume Set

Multiplicative Differential Equations: Volume I is the first part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume begins with a basic introduction to multiplicative differential equations and then moves on to first and second order equations as well as the question of existence and unique of solutions. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. Multiplicative Differential Equations: Volume 2 is the second part of a comprehensive approach to the subject. It continues a series of books written by the authors on multiplicative geometric approaches to key mathematical topics. This volume is devoted to the theory of multiplicative differential systems. The asymptotic behavior of the solutions of such systems is studied. Stability theory for multiplicative linear and nonlinear systems is introduced and boundary value problems for second order multiplicative linear and nonlinear equations are explored. The authors also present first order multiplicative partial differential equations. Each chapter ends with a section of practical problems. The book is accessible to graduate students and researchers in mathematics physics engineering and biology. | Multiplicative Differential Equations Two Volume Set

GBP 170.00
1

Opera Outside the Box Notions of Opera in Nineteenth-Century Britain

Time Series for Data Science Analysis and Forecasting

Time Series for Data Science Analysis and Forecasting

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models exponential smoothing Holt-Winters forecasting and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject. This book is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed. Features: Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing Holt Winters ARMA and ARIMA deep learning models including RNNs LSTMs GRUs and ensemble models composed of combinations of these models. Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy. Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics Department of Transportation and the World Bank. There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use. | Time Series for Data Science Analysis and Forecasting

GBP 99.99
1

Industrial Engineering Management Tools and Applications Three Volume Set

Handbook of Algal Technologies and Phytochemicals Two Volume Set

Effective School Librarianship Successful Professional Practices from Librarians around the World: (2-volume set)

Effective School Librarianship Successful Professional Practices from Librarians around the World: (2-volume set)

These volumes provide a series of informative interviews with school/teacher librarians practicing in different parts of the world. The 2-volume set showcases the resilience creativity and best practices from successful school librarians from Europe Asia Africa Australia and North and South America. The librarians interviewed come from all different schools and schools systems from a tiny recently built school library in a rural village in Africa to an ultra-modern library in Sweden. Featuring 37 interviews with successful school librarians from across the globe the volumes let us hear the stories from countries around the world. They tell about their creative and innovative school library projects their unconventional reading programs and their best practices and experiences in addressing the challenges of supporting basic literacy. A wide selection of methodologies and approaches are discussed offering a global “voyage” through topics important in school librarianship. The 2-volume set also addresses recent advancements in information and communication technologies (ICTs) and the shift toward inquiry-based learning that impacts school libraries worldwide. The books are packed with information that can be used by school librarians teachers school administrators and others in a variety of ways. Readers can borrow best practices from the experiences presented in the book and the volumes can also serve as a strong voice for practicing school librarians and the profession through expanding the opportunities for professional sharing in the international school library community. | Effective School Librarianship Successful Professional Practices from Librarians around the World: (2-volume set)

GBP 139.00
1

Inside the Black Box of 'White Backlash' Letters of Support to Enoch Powell (1968-1969)

Handbook of Item Response Theory Three Volume Set

Learning Professional Python Two Volume Set

The Routledge Encyclopedia of Taoism 2-Volume Set

Financial Mathematics Two Volume Set

Financial Mathematics Two Volume Set

This textbook provides complete coverage of discrete-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field this one presents multiple problem-solving approaches linking related comprehensive techniques for pricing different types of financial derivatives. Key features: In-depth coverage of discrete-time theory and methodology. Numerous fully worked out examples and exercises in every chapter. Mathematically rigorous and consistent yet bridging various basic and more advanced concepts. Judicious balance of financial theory mathematical and computational methods. Guide to Material. This revision contains: Almost 200 pages worth of new material in all chapters. A new chapter on elementary probability theory. An expanded the set of solved problems and additional exercises. Answers to all exercises. This book is a comprehensive self-contained and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics. Table of Contents List of Figures and Tables Preface I Introduction to Pricing and Management of Financial Securities 1 Mathematics of Compounding 2 Primer on Pricing Risky Securities 3 Portfolio Management 4 Primer on Derivative Securities II Discrete-Time Modelling 5 Single-Period Arrow–Debreu Models 6 Introduction to Discrete-Time Stochastic Calculus 7 Replication and Pricing in the Binomial Tree Model 8 General Multi-Asset Multi-Period Model Appendices A Elementary Probability Theory B Glossary of Symbols and Abbreviations C Answers and Hints to Exercises References Index Biographies Giuseppe Campolieti is Professor of Mathematics at Wilfrid Laurier University in Waterloo Canada. He has been Natural Sciences and Engineering Research Council postdoctoral research fellow and university research fellow at the University of Toronto. In 1998 he joined the Masters in Mathematical Finance as an instructor and later as an adjunct professor in financial mathematics until 2002. Dr. Campolieti also founded a financial software and consulting company in 1998. He joined Laurier in 2002 as Associate Professor of Mathematics and as SHARCNET Chair in Financial Mathematics. Roman N. Makarov is Associate Professor and Chair of Mathematics at Wilfrid Laurier University. Prior to joining Laurier in 2003 he was an Assistant Professor of Mathematics at Siberian State University of Telecommunications and Informatics and a senior research fellow at the Laboratory of Monte Carlo Methods at the Institute of Computational Mathematics and Mathematical Geophysics in Novosibirsk Russia. | Financial Mathematics Two Volume Set

GBP 130.00
1

Electronic Design Automation for Integrated Circuits Handbook Second Edition - Two Volume Set

Spintronics Handbook Second Edition: Spin Transport and Magnetism Three Volume Set

Phylogenetic Analysis of Morphological Data Two Volume Set

Introductory Physics for the Life Sciences - Two-Vol. Set

Introductory Physics for the Life Sciences - Two-Vol. Set

This textbook provides an accessible introduction to physics for undergraduate students in the life sciences including those majoring in all branches of biology biochemistry and psychology and students working on pre-professional programs such as pre-medical pre-dental and physical therapy. The text is geared for the algebra-based physics course often named College Physics in the United States. The order of topics studied are such that most of the problems in the text can be solved with the methods of Statics or Dynamics. That is they require a free body diagram the application of Newton’s Laws and any necessary kinematics. Constructing the text with a standardized problem-solving methodology simplifies this aspect of the course and allows students to focus on the application of physics to the study of biological systems. Along the way students apply these techniques to find the tension in a tendon the sedimentation rate of red blood cells in haemoglobin the torques and forces on a bacterium employing a flagellum to propel itself through a viscous fluid and the terminal velocity of a protein moving in a Gel Electrophoresis device. This is part one of a two-volume set; volume 2 introduces students to the conserved-quantities and applies these problem-solving techniques to topics in Thermodynamics Electrical Circuits Optics and Atomic and Nuclear Physics always with continued focus on biological applications. Volume 1 Key features: Organised and centred around analysis techniques not traditional Mechanics and E&M. Presents a unified approach in a different order meaning that the same laboratories equipment and demonstrations can be used when teaching the course. Demonstrates to students that the analysis and concepts they are learning are critical to the understanding of biological systems. Volume 2 Key features: Organised and centred around analysis techniques not traditional Mechanics and E&M. Presents a unified approach in a different order meaning that the same laboratories equipment and demonstrations can be used when teaching the course. Demonstrates to students that the analysis and concepts they are learning are critical to the understanding of biological systems. | Introductory Physics for the Life Sciences - Two-Vol. Set

GBP 89.99
1

Forage Crops of the World 2-volume set Volume I: Major Forage Crops; Volume II: Minor Forage Crops

Digital Image Processing and Analysis Two Volume Set