Category: Computer Science & Computer Engineering
Computer Science & Computer Engineering
eBook Details: Paperback: 218 pages Publisher: WOW! eBook (January 31, 2023) Language: English ISBN-10: 180461775X ISBN-13: 978-1804617755 eBook Description: Deep Learning and XAI Techniques for Anomaly Detection: Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guide Despite promising advances, the opaque nature of deep learning models makes it difficult to interpret them, which is a drawback in terms of their practical deployment and regulatory compliance. Deep Learning and XAI Techniques for Anomaly Detection shows you state-of-the-art methods that’ll help you to understand and address these challenges. By leveraging the Explainable AI (XAI) and deep learning techniques described...
eBook Details: Paperback: 221 pages Publisher: WOW! eBook (January 26, 2023) Language: English ISBN-10: 1484289978 ISBN-13: 978-1484289976 eBook Description: Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package Demystify the creation of efficient AI systems using the model-based reinforcement learning Unity ML-Agents – a powerful bridge between the world of Unity and Python. We will start with an introduction to the field of AI, then discuss the progression of AI and where we are today. We will follow this up with a discussion of moral and ethical considerations. You will then learn how...
eBook Details: Paperback: 191 pages Publisher: WOW! eBook (January 26, 2023) Language: English ISBN-10: 1484291611 ISBN-13: 978-1484291610 eBook Description: Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods...
eBook Details: Paperback: 538 pages Publisher: WOW! eBook; 2nd edition (July 11, 2023) Language: English ISBN-10: 1801074305 ISBN-13: 978-1801074308 eBook Description: Mastering PyTorch, 2nd Edition: Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples PyTorch is making it easier than ever before for anyone to build deep learning applications. This Mastering PyTorch, Second Edition book will help you uncover expert techniques to get the most from your data and build complex neural network models. You’ll create convolutional neural networks (CNNs) for image classification and recurrent neural networks (RNNs) and transformers for sentiment analysis. As you advance, you’ll...
eBook Details: Paperback: 602 pages Publisher: WOW! eBook (February 14, 2023) Language: English ISBN-10: 1098107632 ISBN-13: 978-1098107635 eBook Description: Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This Essential Math for AI accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory. Understand the underlying mathematics powering AI systems, including generative adversarial networks, random graphs, large random matrices,...
eBook Details: Paperback: 350 pages Publisher: WOW! eBook (February 28, 2023) Language: English ISBN-10: 1098120272 ISBN-13: 978-1098120276 eBook Description: Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. You’ll learn: Methods to explain ML models and their outputs...
