Introduction Deep Learning Theory (25 results)
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An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz
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Taschenbuch. Condition: Neu. Introduction to Deep Learning: Theory and Practice | Lakshmi Prasad Mudarakola (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208438234 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vd…m-vsg[dot]de | Anbieter: preigu.
An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research Using R [Hardcover] [May 19, 2023] Farahani, Hojjatollah; Blagojeviä, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian,.
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approache…s have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software.
An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
- Hardcover
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An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
- Softcover
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. An Introduction to Artificial Psychology | Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R | Hojjatollah Farahani (u. a.) | Taschenbuch | xx | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031311741 | Verantwortliche Person für die EU: Springer Verla…g GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approache…s have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software.
An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
- Hardcover
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Language: English
Published by Springer International Publishing, Springer International Publishing, 2024
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted lim…itations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software.
Language: English
Published by Springer Nature Switzerland, Springer International Publishing, 2023
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitation…s. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently. Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explainthe set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods. This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations. This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificialpsychology. This book implements models using R software.
An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research Using R
Farahani, Hojjatollah/ Blagojevic, Marija/ Azadfallah, Parviz/ Watson, Peter/ Esrafilian, Forough
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 272 pages. 9.25x6.10x0.87 inches. In Stock.
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paperback. Condition: New. Paperback. Pub Date: 2019-12-01 Pages: 244 Language: Chinese Publisher: Tsinghua University Press Introduction to Deep Learning: Theory and Implementation Based on PyTorch and TensorFlow/Artificial Intelligence and Big Data Series is a system introduction to deep learning An introductory book of basic…knowledge and theoretical principles.?Introduction to Deep Learning: Theory and Implementation Based on PyTorch and TensorFlow/Artificial Intelligence and Big Data Series starts with the basic s.
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paperback. Condition: New. Paperback. Pub Date: 2018-07-01 Pages: 285 Language: Chinese Publisher: People's Posts and Telecommunications Press This book is an introductory book in the true sense of deep learning. It analyzes the principles and related technologies of deep learning in a simple way. Use Python3 in the book. try no…t to rely on external libraries or tools. from the basic mathematical knowledge. lead readers from zero.
Language: English
Published by Omniscriptum, LAP Lambert Academic Publishing, 2025
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers found…ational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques. 76 pp. Englisch.
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Language: English
Published by LAP LAMBERT Academic Publishing Apr 2025, 2025
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundatio…nal topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundation…al topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques.
An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
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An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
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An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
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An Introduction to Artificial Psychology: Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R
Farahani, Hojjatollah; Blagojević, Marija; Azadfallah, Parviz; Watson, Peter; Esrafilian, Forough; Saljoughi, Sara
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