Data Science
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Machine Learning Engineering with Python: MLOps & Model Lifecycle (2023)
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Machine Learning Applications: A Quick Guide for Beginners
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Training Data for ML: From Annotation to Data Science (2023)
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ML & SQL Made Simple: Practical Data Science Guide (2024)
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ML for Physical Sciences: Fundamentals & Julia Prototyping (2023)
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ML for Business Analytics: Concepts & Applications in R (2023)
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Python Data Mining: Quick Guide for Beginners (2023)
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Big Data, ML & Applications: BigDML 2021 Conference Proceedings
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Introduction to Optimization: Applications in Machine Learning (2023)
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Data Mining: Concepts, Techniques & Applications (2022)
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GoLang for Machine Learning: Build Efficient ML Models with Go (2024)
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Graph-Powered Analytics & ML with TigerGraph: Business Insights (2023)
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Data Mining & ML Applications: Insights for Data-Driven Decisions (2022)
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Machine Learning in Financial Analytics: Approaches & Strategies
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Principles of Machine Learning: Three Perspectives (2025)
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Statistical ML for Engineering: Applications & Methods (2024)
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Machine Learning on Geographical Data: Python Applications & Use Cases
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Machine Learning Production Systems: Engineering Models & Pipelines
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Hands-On Financial Modeling with Excel: Forecasting & Valuation (2nd Ed.)
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Artificial Intelligence & Machine Learning: Key Concepts & Applications
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Machine Learning for Engineers: Practical Approaches (2023)
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MATLAB ML Recipes: Problem-Solution Approach (2024)
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ML for Sustainable Manufacturing in Industry 4.0
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Practical ML with R: Tutorials & Case Studies (2024)
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Data Mining & Big Data: DMBD 2023 Conference Insights
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ML with Qlik Sense: AI-Powered Data Insights (2023)
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R Bioinformatics Cookbook: Genomics, Data Science & ML (2023)
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