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Shallow Learning vs. Deep Learning: A Comparative Approach (Springer, 2024)
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Thinking Data Science: A Practitioner’s Guide to Data-Driven Decision Making (Springer, 2023)
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Machine Learning for Biometrics: Concepts & Applications
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Session-Based Recommender Systems: Deep Learning Techniques (Springer Cham, 2023)
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Handbook on Intelligent Healthcare Analytics: AI & Knowledge Engineering Applications
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Introduction to Machine Learning with Security: Python & Cloud-Based ML (2024)
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Beginning Anomaly Detection: Deep Learning & Python-Based Solutions (Apress, 2023)
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R Bioinformatics Cookbook: Genomics, Data Science & ML with R (Packt, 2023)
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Deep Learning: A Practical Introduction (Wiley, 2024)
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Applied Deep Learning: Tools, Techniques & Implementation (Springer, 2022)
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Machine Learning & Data Science: Fundamentals & Applications (Wiley-Scrivener)
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Data Science: An Introduction to Statistics & Machine Learning (Springer, 2023)
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Many-Sorted Algebras for Deep Learning & Quantum Technology (Morgan Kaufmann Elsevier, 2024)
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Digital Forensics in the Era of Artificial Intelligence (CRC Press, 2022)
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Deep Learning for Video Understanding: Wireless Networks & AI Applications (Springer, 2024)
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Mathematics of Deep Learning: A Beginner’s Guide (De Gruyter, 2023)
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Building Intelligent Systems with AI & ML: Security, Applications & Use Cases
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The Kaggle Book: Master Data Science & Machine Learning for Competitions (Packt, 2023)
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From Deep Learning to Rational Machines: AI Through the Lens of Philosophy (2023)
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Deep Reinforcement Learning for Mobile Processor Design (2023)
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Deep Learning Through the Prism of Tensors: A New Perspective (2024)
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AI & Machine Learning in Public Service: Estonia’s Innovations & Legal Challenges
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Kubernetes Cookbook: Build & Scale Cloud-Native Applications
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Deep Learning in Medical Imaging: Applications & Innovations (2024)
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Software Development with Go: Cloud-Native Programming Guide
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Machine Learning for Intelligent Data Centers: Challenges & Evolution
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Demystifying Deep Learning: A Practical Guide (2023)
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