Machine learning books

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This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch...  Read More >>

""Addresses artificial intelligence (AI) from a system engineering approach""--  Read More >>

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The book focuses on model-based empirical methods where data annotations and model predictions are treated as training...  Read More >>

This book introduces readers to the theoretical foundation and application of topic models. More concretely, it...  Read More >>

"It is a perceptive and thorough introduction to the challenging but intriguing fields of artificial intelligence,...  Read More >>

This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art...  Read More >>

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances...  Read More >>

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used...  Read More >>

Second, it describes several novel deep learning algorithms for solving challenging problems in computational physics,...  Read More >>

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The text presents the basic understanding of the machine learning algorithms used for communication networks in...  Read More >>

"""Quick Start Guide to LLMs: Hands-On with Large Language Models"" is a comprehensive yet concise manual designed...  Read More >>

This book highlights the application of smart technologies that utilize the Internet of Things (IoT) and Artificial...  Read More >>

This book gathers selected research papers presented at the Fifth International Conference on Communication and...  Read More >>

This book explores the latest research in high performance domain-specific computer architectures for emerging applications,...  Read More >>

Generative AI Engineering: Techniques, Tools, and Applications is a comprehensive guide that delves into the fascinating...  Read More >>

Generative AI with Python and TensorFlow: A Complete Guide to Mastering AI Models is a comprehensive resource for...  Read More >>

The network add-on method prevents the adversarial examples by training the adversarial example detector.Testing...  Read More >>

How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning,...  Read More >>

This book, at first, explores the evolution of the IoT to SIoT and offers a comprehensive understanding of SIoT...  Read More >>

This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing,...  Read More >>

This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control,...  Read More >>

This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises...  Read More >>