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Introduction to Neural Networks(1997) GURNEY, KEVIN (UNIVERSITY OF SHEFFIELD UNIVERSITY OF SHEFFIELD, UK)Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the113,63 €
GURNEY, KEVIN (UNIVERSITY OF SHEFFIELD UNIVERSITY OF SHEFFIELD, UK)
Introduction to Neural Networks
Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the
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Neural Networks for Pattern Recognition(1995) BISHOP, CHRISTOPHER M. (, MICROSOFT RESEARCH)This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern130,73 €
BISHOP, CHRISTOPHER M. (, MICROSOFT RESEARCH)
Neural Networks for Pattern Recognition
This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern
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Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition(2014) WULFRAM GERSTNERVezava: Mehka72,92 €
WULFRAM GERSTNER
Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
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Genetic Algorithms and Machine Learning for Programmers(2019) BUONTEMPO, FRANCES51,40 €
BUONTEMPO, FRANCES
Genetic Algorithms and Machine Learning for Programmers
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Machine Learning Pocket Reference(2019) HARRISON, MATTWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient re33,34 €
HARRISON, MATT
Machine Learning Pocket Reference
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient re
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Neuromorphic Circuits for Nanoscale Devices(2019) MAZUMDER, PINAKI,YILMAZ, YALCIN,EBONG, IDONGESITNeuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuro149,61 €
MAZUMDER, PINAKI,YILMAZ, YALCIN,EBONG, IDONGESIT
Neuromorphic Circuits for Nanoscale Devices
Neuromorphic Circuits for Nanoscale Devices contains recent research papers presented in various international conferences and journals to provide insight into how the operational principles of the nanoscale devices can be utilized for the design of neuro
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Artificial Intelligence of Things in Smart Environments - Applications in Transportation and Logistics(2022)179,85 €
Artificial Intelligence of Things in Smart Environments - Applications in Transportation and Logistics
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Meta-heuristic Optimization Techniques - Applications in Engineering(2022)168,13 €
Meta-heuristic Optimization Techniques - Applications in Engineering
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Cognitive Internet of Things - Enabling Technologies, Platforms, and Use Cases(2022) PETHURU RAJVezava: Mehka127,20 €
PETHURU RAJ
Cognitive Internet of Things - Enabling Technologies, Platforms, and Use Cases
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AI by Design(2022) CAMPBELL, CATRIONAAI by Design introduces AI and its importance to our future. Exploring behavioural psychology, economics, and real-life and historical examples, Campbell predicts five future scenarios with AI, orientated around the "Singularity" - the moment when AI exce45,92 €
CAMPBELL, CATRIONA
AI by Design
AI by Design introduces AI and its importance to our future. Exploring behavioural psychology, economics, and real-life and historical examples, Campbell predicts five future scenarios with AI, orientated around the "Singularity" - the moment when AI exce
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Deep Learning on Graphs(2021) MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, a79,71 €
MA, YAO (MICHIGAN STATE UNIVERSITY),TANG, JILIANG (MICHIGAN STATE UNIVERSITY)
Deep Learning on Graphs
This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, a
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Elements of Causal Inference(2017) PETERS, JONAS (ASSOCIATE PROFESSOR OF STATISTICS, UNIVERSITY OF COPENHAGEN),JANZING, DOMINIK (SENIOR RESEARCH SCIENTIST, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS),SCHOLKOPF, BERNHARD (DIRECTOR OF THE MAX PLANCK INSTITUTE FOR INTELLIGENT IN TUBINGEN, GERMANY, PROFESSOR FOR MACHINE LEA, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS)61,99 €
PETERS, JONAS (ASSOCIATE PROFESSOR OF STATISTICS, UNIVERSITY OF COPENHAGEN),JANZING, DOMINIK (SENIOR RESEARCH SCIENTIST, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS),SCHOLKOPF, BERNHARD (DIRECTOR OF THE MAX PLANCK INSTITUTE FOR INTELLIGENT IN TUBINGEN, GERMANY, PROFESSOR FOR MACHINE LEA, MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS)
Elements of Causal Inference
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