Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Ruqiang Yan
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Deep Learning
Ian (Senior Research Scientist, OpenAI) Goodfellow
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Neural Networks for Pattern Recognition
Christopher M. (, Microsoft Research) Bishop
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An Introduction to Neural Networks
Kevin (University of Sheffield University of Sheffield, UK) Gurney
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Artificial Intelligence : A Guide to Intelligent Systems
Michael Negnevitsky
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Machine Learning : A Constraint-Based Approach
Marco (Department of Information Engineering and Mathematics, Un Gori
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Federated AI for Real-World Business Scenarios
Dinesh C. Verma
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Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches
Akash Kumar Bhoi
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning
Lefteri Tsoukalas
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Machine Learning and Deep Learning in Natural Language Processing
Anitha S. Pillai
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Deep Learning in Time Series Analysis
Arash (Malardalen University, Vastmanland, Sweden) Gharehbaghi
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Machine Learning for Biomedical Applications : With Scikit-Learn and PyTorch
Maria (Senior Lecturer in Medical Imaging, Department of Perin Deprez
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Artificial Intelligence and Deep Learning for Computer Network : Management and Analysis
Sangita (TIET, Patiala, Punjab, India) Roy
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Artificial Intelligence for Virtual Reality
Jude Hemanth
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Deep Learning for Robot Perception and Cognition
Alexandros (Aarhus University, Denmark) Iosifidis
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Cognitive Internet of Things : Enabling Technologies, Platforms, and Use Cases
Pethuru Raj
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Current Applications of Deep Learning in Cancer Diagnostics
Jyotismita Chaki
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Cognitive and Neural Modelling for Visual Information Representation and Memorization
Limiao Deng
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Python for Scientific Computing and Artificial Intelligence
Stephen Lynch
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Research Advances in Intelligent Computing
Anshul (Banaras Hindu University, India) Verma
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Machine Learning on Commodity Tiny Devices : Theory and Practice
Song Guo
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AI for Finance
Edward P. K. (University of Essex, United Kingdom) Tsang
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Beyond Algorithms : Delivering AI for Business
James Luke
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Low-Power Computer Vision : Improve the Efficiency of Artificial Intelligence
George K. (Loyola University Chicago, Chicago, Illinois Thiruvathukal
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