Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction, Joseph Bentsman
Автор: Ortega, Antonio, Название: Introduction to graph signal processing / ISBN: 1108428134 ISBN-13(EAN): 9781108428132 Издательство: Cambridge Academ Рейтинг: Цена: 102790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers basic and advanced topics, includes numerous exercises and Matlab examples, and is accompanied online by a solutions manual for instructors, making it essential reading for graduate students, researchers, and industry professionals.
Автор: Anand, R. Название: Digital signal processing ISBN: 1683928024 ISBN-13(EAN): 9781683928027 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 59730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed to cover the fundamental concepts of digital signal processing, this book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more.
Автор: Nagahara Masaaki Название: Sparsity Methods for Systems and Control ISBN: 1680837249 ISBN-13(EAN): 9781680837247 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 82230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers a comprehensive guide to sparsity methods for systems and control, from standard sparsity methods in finite-dimensional vector spaces to optimal control methods in infinite-dimensional function spaces.The primary objective of this book is to show how to use sparsity methods for several engineering problems.
Автор: Theobald Oliver Название: Machine Learning for Absolute Beginners: A Plain English Introduction ISBN: 1549617214 ISBN-13(EAN): 9781549617218 Издательство: Неизвестно Цена: 19870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some theory and statistical principles to march through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to the practical components and statistical concepts found in machine learning. Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.This major new edition features many topics not covered in the First Edition, including Cross Validation, Data Scrubbing and Ensemble Modeling. Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition. Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment
Название: Introduction to statistical relational learning ISBN: 0262072882 ISBN-13(EAN): 9780262072885 Издательство: MIT Press Рейтинг: Цена: 71280.00 T Наличие на складе: Нет в наличии. Описание: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
Автор: Joseph Bentsman Название: Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction ISBN: 9811252319 ISBN-13(EAN): 9789811252310 Издательство: World Scientific Publishing Рейтинг: Цена: 95040.00 T Наличие на складе: Поставка под заказ. Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
This book stems from a unique and highly effective approach in introducing signal processing, instrumentation, diagnostics, filtering, control, and system integration.
It presents the interactive industrial grade software testbed of mold oscillator that captures the mold motion distortion induced by coupling of the electro-hydraulic actuator nonlinearity with the resonance of the mold oscillator beam assembly. The testbed is then employed as a virtual lab to generate input-output data records that permit unraveling and refining complex behavior of the actual production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.
The material is presented in a visually rich, mathematically and graphically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the book fully brings out the excitement of going through the adventure of exploring and solving a mold oscillator distortion problem, while covering the key signal processing, diagnostics, instrumentation, modeling, control, and system integration concepts.
The approach presented in this book has been supported by two education advancement awards from the College of Engineering of the University of Illinois at Urbana-Champaign.
Автор: Osvaldo Simeone Название: An Introduction to Quantum Machine Learning for Engineers ISBN: 1638280584 ISBN-13(EAN): 9781638280583 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 98870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph is motivated by a number of recent developments that appear to define a possible new role for researchers with an engineering profile. Software that make programming quantum algorithms more accessible. A new framework is emerging for programming quantum algorithms to be run on current quantum hardware.
Автор: Stamp, Mark Название: Introduction to machine learning with applications in information security ISBN: 0367573059 ISBN-13(EAN): 9780367573058 Издательство: Taylor&Francis Рейтинг: Цена: 42870.00 T Наличие на складе: Нет в наличии. Описание: This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.
Автор: Sutton, Richard S. Barto, Andrew G. Название: Reinforcement learning ISBN: 0262193981 ISBN-13(EAN): 9780262193986 Издательство: MIT Press Рейтинг: Цена: 66930.00 T Наличие на складе: Нет в наличии. Описание: An account of key ideas and algorithms in reinforcement learning. The discussion ranges from the history of the field`s intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in terms of Markov decision problems and solution methods.
Автор: Franco Davoli; Sergio Palazzo; Sandro Zappatore Название: Distributed Cooperative Laboratories: Networking, Instrumentation, and Measurements ISBN: 1441940022 ISBN-13(EAN): 9781441940025 Издательство: Springer Рейтинг: Цена: 172350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is devoted to the investigation of the main issues related to the sustainable realization of tele-laboratories, where real and virtual instrumentation can be shared and used in a collaborative environment.
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