Practical MATLAB Deep Learning (A Projects-Based Approach)

By Paluszek, Michael, Thomas, Stephanie

Practical MATLAB Deep Learning (A Projects-Based Approach)

By Paluszek, Michael, Thomas, Stephanie

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TinyML Cookbook - Second Edition (Combine machine learning with microcontrollers to solve real-world problems)

By Iodice, Gian Marco

TinyML Cookbook - Second Edition (Combine machine learning with microcontrollers to solve real-world problems)

By Iodice, Gian Marco

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Technology-Based Teaching and Learning in Pakistani English Language Classrooms (Advances in Digital Technologies for Smart Applications)

By Muhammad Mooneeb Ali

Technology-Based Teaching and Learning in Pakistani English Language Classrooms (Advances in Digital Technologies for Smart Applications)

By Muhammad Mooneeb Ali

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Computational Intelligence Applications for Software Engineering Problems

By Parma Nand, Arun Prakash Agrawal, Vishal Jain, Nitin Rakesh

Computational Intelligence Applications for Software Engineering Problems

By Parma Nand, Arun Prakash Agrawal, Vishal Jain, Nitin Rakesh

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Federated Learning for Wireless Networks

By Hong, Choong Seon, Khan, Latif U., Mingzhe Chen

Federated Learning for Wireless Networks

By Hong, Choong Seon, Khan, Latif U., Mingzhe Chen

£128 Elsewhere ~~£139.99~~ Save £11.99 (9%)

Deep Learning for Computational Problems in Hardware Security (Modeling Attacks on Strong Physically Unclonable Function Circuits (Studies in Computational Intelligence))

By Chakraborty, Rajat Subhra, Santikellur, Pranesh

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By Chakraborty, Rajat Subhra, Santikellur, Pranesh

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Deep Learning for Computational Problems in Hardware Security (Modeling Attacks on Strong Physically Unclonable Function Circuits (Studies in Computational Intelligence))

By Chakraborty, Rajat Subhra, Santikellur, Pranesh

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By Chakraborty, Rajat Subhra, Santikellur, Pranesh

£45.95

Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics

By Belgacem Ben Youssef, Mohamed Maher Ben Ismail

Handbook of Research on Integrating Machine Learning Into HPC-Based Simulations and Analytics

By Belgacem Ben Youssef, Mohamed Maher Ben Ismail

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Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks (Wireless Networks)

By Dalili Shoaei, Atoosa, Le-Ngoc, Tho

Learning-Based Reconfigurable Multiple Access Schemes for Virtualized MTC Networks (Wireless Networks)

By Dalili Shoaei, Atoosa, Le-Ngoc, Tho

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Pedagogically Founded Courseware Generation for Web-Based Learning (An HTN-Planning-Based Approach Implemented in Paigos (Lecture Notes in Artificial Intelligence))

By Carsten A. Ullrich

Pedagogically Founded Courseware Generation for Web-Based Learning (An HTN-Planning-Based Approach Implemented in Paigos (Lecture Notes in Artificial Intelligence))

By Carsten A. Ullrich

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Component-Based Software Engineering (Methods and Metrics)

By Tiwari, Umesh Kumar, Kumar, Santosh

Component-Based Software Engineering (Methods and Metrics)

By Tiwari, Umesh Kumar, Kumar, Santosh

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Component-Based Software Engineering (Methods and Metrics)

By Tiwari, Umesh Kumar, Kumar, Santosh

Component-Based Software Engineering (Methods and Metrics)

By Tiwari, Umesh Kumar, Kumar, Santosh

£40.98 Elsewhere ~~£44.99~~ Save £4.01 (9%)

Prediction and Analysis for Knowledge Representation and Machine Learning

By Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar

Prediction and Analysis for Knowledge Representation and Machine Learning

By Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar

£103 Elsewhere ~~£135.00~~ Save £32.00 (24%)

Prediction and Analysis for Knowledge Representation and Machine Learning

By Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar

Prediction and Analysis for Knowledge Representation and Machine Learning

By Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar

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Reinforcement Learning for Cyber-Physical Systems (With Cybersecurity Case Studies)

By Chong Li, Meikang Qiu

Reinforcement Learning for Cyber-Physical Systems (With Cybersecurity Case Studies)

By Chong Li, Meikang Qiu

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Transformers for Machine Learning (A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Uday Kamath, Kenneth L. Graham, Wael Emara

Transformers for Machine Learning (A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Uday Kamath, Kenneth L. Graham, Wael Emara

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Transformers for Machine Learning (A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Uday Kamath, Kenneth Graham, Wael Emara

Transformers for Machine Learning (A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition))

By Uday Kamath, Kenneth Graham, Wael Emara

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Machine Learning in Bioinformatics (Wiley Series in Bioinformatics)

By Zhang, Yanqing (Computer Science Department, Georgia State Unive, Jagath C. Rajapakse

Machine Learning in Bioinformatics (Wiley Series in Bioinformatics)

By Zhang, Yanqing (Computer Science Department, Georgia State Unive, Jagath C. Rajapakse

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3

Effective Machine Learning Teams (Best Practices for ML Practitioners)

By Tan, David, Leung, Ada, David Colls

Effective Machine Learning Teams (Best Practices for ML Practitioners)

By Tan, David, Leung, Ada, David Colls

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Learning Opentelemetry (Setting Up and Operating a Modern Observability System)

By Austin Parker, Ted Young

Learning Opentelemetry (Setting Up and Operating a Modern Observability System)

By Austin Parker, Ted Young

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Machine Learning and Big Data with KDB+/Q (Wiley Finance)

By Novotny, Jan, Bilokon, Paul A., Aris Galiotos, Frederic Deleze

Machine Learning and Big Data with KDB+/Q (Wiley Finance)

By Novotny, Jan, Bilokon, Paul A., Aris Galiotos, Frederic Deleze

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Open Networked "i-Learning" (Models and Cases of "Next-Gen" Learning)

By Gianluca Elia, Antonella Poce

Open Networked "i-Learning" (Models and Cases of "Next-Gen" Learning)

By Gianluca Elia, Antonella Poce

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Open Networked "i-Learning" (Models and Cases of "next-Gen" Learning)

By Gianluca Elia, Antonella Poce

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By Gianluca Elia, Antonella Poce

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Introduction to Machine Learning with R (Rigorous Mathematical Analysis)

By Scott V. Burger

Introduction to Machine Learning with R (Rigorous Mathematical Analysis)

By Scott V. Burger

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