Machine Learning-based Indoor Localization – alle Bücher, Seite 3

Fostering Women's Engagement in STEM Through Education

Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigour with real-world impact, offering a comprehensive exploration of scie…

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Parimal Pal Chaudhuri, Adip Dutta, Somshubhro Pal Choudhury, Dipanwita Roy Chowdhury
New Kind of Machine Learning-Cellular Automata Model

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources.…

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Zhou Xu
Machine-Learning-Assisted Software Defect Prediction

This book focuses on software defect prediction (SDP) in order to avoid threats related to quality, reliability and safety. It details advanced machine/deep learning technologies to discuss strategies for…

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Bitan Misra, Sayan Chakraborty, Nilanjan Dey
Machine Unlearning

This book explores one of the most critical and emerging fields in artificial intelligence, machine unlearning. As data privacy concerns grow and regulations like GDPR demand compliance, this book provide…

lieferbar ab 14.9.2026.

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

lieferbar ab 25.8.2026.

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Artificial Intelligence and Legal Evidence

This book explores AI's impact on legal evidence, with a particular focus on its use within Indian law, by identifying the key feature of an Artificial intelligence-driven Justice Delivery System. It seek…

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Ognjen Radi¿i¿-Aberger
Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning

Adaptation and change are imperative for products and companies to remain competitive. Managing these changes, however, is increasingly difficult and requires thorough planning and management. Especially …

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

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Satish Mahadevan Srinivasan, Raghvinder S. Sangwan
What Every Engineer Should Know About Artificial Intelligence and Big Data

Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintainin…

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Predictive Analytics and Generative AI for Data-Driven Marketing Strategies

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analyt…

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Bradley Fowler, Bruce G. Chaundy
Technology Management, Artificial Intelligence, and Machine Learning Strategies to Improve Technology Integration and Usage in the Workplace

Technology Management: AI and Machine Learning Strategies for the Workplace delivers a globally compliant framework that integrates incident response planning, disaster recovery, industrial-organizational…

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Vivek Kalyanarangan
Quantization and Fast Inference

Get the eBook free when you register your print book at Manning.Today's AI models demand a lot of memory, compute, and server horsepower---which quickly translates into cost. This book show you how you ca…

lieferbar ab 29.12.2026.

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Digital Defence

This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to …

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Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

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Sebastian Raschka
Build a Reasoning Model (from Scratch)

Get the eBook free when you register your print book at Manning."An exceptional deep dive into the next frontier of AI." ---Aman Chadha, GoogleThis book is a practical guide to understanding how…

lieferbar ab 11.8.2026.

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Milind Sharma
The Quantamental Revolution: Factor Investing in t he Age of Machine Learning

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

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Data-Driven Systems and Intelligent Applications

This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techn…

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Deep Learning Applications in Operations Research

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applicat…

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Rishal Hurbans
Grokking AI Algorithms, Second Edition

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Artifici…

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