Practical Matlab Deep Learning
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Practical Matlab Deep Learning
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Author : Michael Paluszek
language : en
Publisher: Apress
Release Date : 2020-02-07
Practical Matlab Deep Learning written by Michael Paluszek and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-07 with Computers categories.
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images. Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities. What You Will Learn Explore deep learning using MATLAB and compare it to algorithms Write a deep learning function in MATLAB and train it with examples Use MATLAB toolboxes related to deep learning Implement tokamak disruption prediction Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Practical Matlab Deep Learning
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Author : Michael Paluszek
language : en
Publisher: Apress
Release Date : 2022-08-09
Practical Matlab Deep Learning written by Michael Paluszek and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-09 with Computers categories.
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigation An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning Stock market prediction Natural language processing Music creation usng generative deep learning Plasma control Earth sensor processing for spacecraft MATLAB Bluetooth data acquisition applied to dance physics What You Will Learn Explore deep learning using MATLAB and compare it to algorithms Write a deep learning function in MATLAB and train it with examples Use MATLAB toolboxes related to deep learning Implement tokamak disruption prediction Now includes reinforcement learning Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
Adcs Spacecraft Attitude Determination And Control
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Author : Michael Paluszek
language : en
Publisher: Elsevier
Release Date : 2023-04-27
Adcs Spacecraft Attitude Determination And Control written by Michael Paluszek and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Technology & Engineering categories.
ADCS - Spacecraft Attitude Determination and Control provides a complete introduction to spacecraft control. The book covers all elements of attitude control system design, including kinematics, dynamics, orbits, disturbances, actuators, sensors, and mission operations. Essential hardware details are provided for star cameras, reaction wheels, sun sensors, and other key components. The book explores how to design a control system for a spacecraft, control theory, and actuator and sensor details. Examples are drawn from the author's 40 years of industrial experience with spacecraft such as GGS, GPS IIR, Mars Observer, and commercial communications satellites, and includes historical background and real-life examples. - Features critical details on hardware and the space environment - Combines theory and ready-to-implement practical algorithms - Includes MATLAB code for all examples - Provides plots and figures generated with the included code
International Research In Engineering Sciences X
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Author : Servet Soygüder
language : en
Publisher: EĞİTİM YAYINEVİ
Release Date : 2024-08-02
International Research In Engineering Sciences X written by Servet Soygüder and has been published by EĞİTİM YAYINEVİ this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Business & Economics categories.
Artificial Intelligence And Big Data For Financial Risk Management
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Author : Noura Metawa
language : en
Publisher: Taylor & Francis
Release Date : 2022-08-31
Artificial Intelligence And Big Data For Financial Risk Management written by Noura Metawa and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Business & Economics categories.
This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment.
Design And Analysis Of Control Systems
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Author : Arthur G.O. Mutambara
language : en
Publisher: CRC Press
Release Date : 2024-03-27
Design And Analysis Of Control Systems written by Arthur G.O. Mutambara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-27 with Technology & Engineering categories.
Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing control systems. It provides improved coverage of the characteristics of feedback control, root-locus analysis, frequency-response analysis, state space methods, digital control systems and advanced controls, including updated worked examples and problems. Features: Describes very timely applications and contains a good mix of theory, application, and computer simulation. Covers all the fundamentals of control systems. Takes a transdisciplinary and cross-disciplinary approach. Explores updates for 4IR (Industry 4.0) and includes better experiments and illustrations for nonlinear control systems. Includes homework problems, case studies, examples, and a solutions manual. This book is aimed at senior undergraduate and graduate students, professional engineers and academic researchers, in interrelated engineering disciplines such as electrical, mechanical, aerospace, mechatronics, robotics and other AI-based systems.
The Computational Evolution Of Cognitive Architectures
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Author : Iuliia Kotseruba
language : en
Publisher: Oxford University Press
Release Date : 2025-06-23
The Computational Evolution Of Cognitive Architectures written by Iuliia Kotseruba and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Psychology categories.
What is the human mind, and how does it work? These questions have occupied humanity since antiquity but have only recently received rigorous scientific investigation. Cognitive architectures are complex software programs whose goal is to approach human-like behavior on a wide variety of tasks. This is accomplished by employing human-like, or at least human-plausible, mechanisms within an integrated framework that is claimed representative of human cognitive, perceptual, and movement capabilities. By examining how close their behavior is to human, they help us understand how the human mind and brain work. They contribute to our understanding as computational models that can be tested and whose details in turn provide insights on new aspects of the human brain and mind. This field of cognitive architectures emerged at the intersection of artificial intelligence and cognitive science and in less than fifty years has spawned hundreds of projects. In The Computational Evolution of Cognitive Architectures, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts. Analyzing over 3000 publications on more than eighty cognitive architectures and hundreds more surveys, research papers, and opinion pieces spanning philosophy, cognitive science, computer science, and robotics, the authors aggregate their findings into broad themes, such as common components of the architectures, their organization, interaction, and relation to human cognitive abilities. They discuss both theoretical elements of cognitive architectures and their performance before finally considering the future of cognitive architectures and their challenges.
Applied Machine Learning
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Author : M. Gopal
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-06-07
Applied Machine Learning written by M. Gopal and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-07 with Technology & Engineering categories.
Cutting-edge machine learning principles, practices, and applications This comprehensive textbook explores the theoretical under¬pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyze results, and make informed strategic decisions. Presented in a non-rigorous mathematical style, the book covers a broad array of machine learning topics with special emphasis on methods that have been profitably employed. Coverage includes: Supervised learning Statistical learning Learning with support vector machines (SVM) Learning with neural networks (NN) Fuzzy inference systems Data clustering Data transformations Decision tree learning Business intelligence Data mining And much more
Matlab For Machine Learning
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Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-01-30
Matlab For Machine Learning written by Giuseppe Ciaburro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.
Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications Key Features Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.What you will learn Discover different ways to transform data into valuable insights Explore the different types of regression techniques Grasp the basics of classification through Naive Bayes and decision trees Use clustering to group data based on similarity measures Perform data fitting, pattern recognition, and cluster analysis Implement feature selection and extraction for dimensionality reduction Harness MATLAB tools for deep learning exploration Who this book is for This book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.
Journal Of Machine Learning Research
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Author :
language : en
Publisher:
Release Date : 2007
Journal Of Machine Learning Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Machine learning categories.
An international forum covering all areas of machine learning.