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1872 books were found.
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Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested... Read More >>
Artificial Neural Networks for Renewable Energy Systems and Real-World Applications presents current trends for... Read More >>
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses... Read More >>
This book uses numerical analysis as the main tool to investigate methods in machine learning and A.I. The efficiency... Read More >>
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical... Read More >>
"This book ""GANs Interview Questions"" is the only book you need to master Generative Adversarial Network (GAN)... Read More >>
Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization -... Read More >>
It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main... Read More >>
Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second... Read More >>
The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains... Read More >>
This book introduces artificial neural networks to students and professionals. It covers the theory and applications... Read More >>
The book reviews social and technological challenges posed by the new wave of artificial intelligence from a technical... Read More >>
Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed optimization... Read More >>
This book describes the functions frequently used in deep neural networks. Read More >>
This title will help business users and AI practitioners to identify good AI projects and ensuring they are successfully... Read More >>
