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Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback...
Editeur :
Apress
Parution :
2022-01-27
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Formal Ontology in Information Systems (FOIS) is the flagship conference of the International Association for Ontology and its Applications, a non-profit organization promoting interdisciplinary research and international collaboration at the intersection of...
Editeur :
SAGE Publications Ltd
Parution :
2022-01-15
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Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of...
Editeur :
SAGE Publications Ltd
Parution :
2022-01-15
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Traditionally concerned with computational models of legal reasoning and the analysis of legal data, the field of legal knowledge and information systems has seen increasing interest in the application of data analytics and machine learning tools to legal tasks in...
Editeur :
SAGE Publications Ltd
Parution :
2022-01-15
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Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea...
Editeur :
Wiley-Scrivener
Parution :
2022-01-10
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Hawkes processes are studied and used in a wide range of disciplines: mathematics, social sciences, and earthquake modelling, to name a few. This book presents a selective coverage of the core and recent topics in the broad field ofHawkes processes. It consists of three...
Editeur :
Springer
Parution :
2022-01-03
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Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing...
Editeur :
Apress
Parution :
2022-01-01
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Understand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts of machine learning interpretability along with different types of explainability algorithms.
You’ll begin by reviewing the...
Editeur :
Apress
Parution :
2022-01-01
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INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERING Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of...
Editeur :
Wiley-Scrivener
Parution :
2021-12-31
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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel,...
Editeur :
Wiley-Scrivener
Parution :
2021-12-29
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This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed...
Editeur :
Springer
Parution :
2021-12-15
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It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be...
Editeur :
SAGE Publications Ltd
Parution :
2021-12-15
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Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI...
Editeur :
Apress
Parution :
2021-12-14
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Practical AI for Healthcare Professionals Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored...
Editeur :
Apress
Parution :
2021-12-13
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MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for...
Editeur :
Wiley-Scrivener
Parution :
2021-11-30
Collection :
Advances in Learning Analytics for Intelligent Cloud-IoT Systems
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COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to...
Editeur :
Wiley-Scrivener
Parution :
2021-11-23
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Artificial intelligence has become an indispensible part of our lives in recent years, affecting all aspects from business and leisure to transport and health care.
This book presents the proceedings of the 23rd edition of the International Conference of the Catalan...
Editeur :
SAGE Publications Ltd
Parution :
2021-11-15
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Fuzzy systems and data mining are indispensible aspects of the computer systems and algorithms on which the world has come to depend.
This book presents papers from FSDM 2021, the 7th International Conference onFuzzy Systems and Data Mining. The conference, originally...
Editeur :
SAGE Publications Ltd
Parution :
2021-11-15
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