Artificial Intelligence & Machine Learning
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MLOps with Red Hat OpenShift: Cloud-Native AI Operations (2024)
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ML for Cyber-Physical Systems: Advances & Challenges (2024)
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ML for Imbalanced Data: Overcoming Bias in AI Models (2023)
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ML Crash Course for Engineers: Essential AI Concepts (2024)
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Optimization Techniques for ML & Imaging: Advanced Methods
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Green ML Protocols: AI for Future Communication Networks (2023)
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Practical Data Mining: Techniques & Real-World Applications (2023)
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ML for Mobile Communications: AI-Powered Network Solutions (2024)
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PowerShell for Pentesting: AI-Driven Security Testing (2024)
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ML in Microservices: Deploy AI in Scalable Architectures
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Discrete Stochastic Processes: ML & Data Science Tools (2024)
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ML for Materials Discovery: Numerical Methods & Applications (2024)
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ChatGPT For Dummies: Beginner’s Guide to AI Conversations (2023)
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Machine Learning for Mobile: Build AI-Powered Apps (2024)
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ML for Societal Progress: AI for Modernization & Development (2022)
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Go ML Projects: 8 End-to-End AI Applications in Go
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ML & Metaheuristic Computation: AI Optimization Techniques (2024)
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AI & ML Fusion: Image Processing, Data Analysis & Security
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Hyperparameter Tuning in Python: Boost ML Model Performance (2022)
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Causal Inference & Discovery in Python: DoWhy & EconML (2023)
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Data Mining with RapidMiner: Principles & Theories (2023)
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Apache Spark for Machine Learning: AI at Scale (2024)
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Hands-On ML for Cybersecurity: Intelligent Threat Protection
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ML & Optimization in Image Processing & IoT (2023)
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Building AI Systems: Security, Applications & ML Solutions
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Mitigating Bias in Machine Learning: Ethical AI Practices (2024)
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Big Data & ML Analytics: Navigating the Data Landscape (2024)
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Image Processing & ML Vol. 2: Advanced AI Techniques (2024)
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