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Data Science

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Machine Learning with R: Data Prep, Model Tuning & Big Data (4th Ed.)
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Data Mining with Python: Theory, Applications & Case Studies (2024)
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Multi-Criteria Decision Making with ML: A Practical Guide (2024)
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Statistical ML for Engineering: Applications & Insights (2024)
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Exercises in Applied Math: Info Theory, ML & Wavelets (2024)
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Power BI For Dummies: Business Intelligence Made Simple (2022)
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ML & Optimization for Engineering Design: AI-Driven Methods (2023)
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Machine Learning Methods: Core Algorithms & Techniques (2023)
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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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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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Becoming a Data Head: Think, Speak & Understand Data Science (2021)
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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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Learning Microsoft Power BI: Transform Data into Insights (2023)
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ML for Materials Discovery: Numerical Methods & Applications (2024)
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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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