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Data Science

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ML for Civil & Environmental Engineers: Data-Driven Approaches (2023)
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Modern Time Series Forecasting with Python & PyTorch (2024)
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Machine Learning with Python: Theory & Implementation (2023)
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Big Data Analytics for Cyber-Physical Systems & IoT (2019)
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Practical ML with KNIME: Illustrated Guide to Data Science (2024)
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Genomics, AI, & ML: Exploring Bioinformatics Applications (2024)
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Data Science for Non-Programmers: Using SAS Enterprise Miner (2024)
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Statistical Data Modeling with ML: Applications II (2023)
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The Science of Machine Learning: Part 1 Fundamentals
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Principles of Data Science: Math & Coding Skills for ML Beginners (2024)
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Linear Algebra for Data Science: Essential for ML & Signal Processing (2024)
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Data Science in Subsurface Engineering: Machine Learning Applications (2023)
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Text Mining: Big Data Concepts & Implementation (2nd Ed. 2024
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ML Algorithms in Depth: Advanced Concepts & Techniques (2024)
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Machine Learning Handbook: Data Mining & Knowledge Discovery (2023)
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FastAPI for Data Science Apps: Efficient ML Development (2nd Ed. 2024)
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The Data Science Workshop: Build ML Models & Real-World Projects
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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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