Data Science
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ML & Optimization in Image Processing & IoT (2023)
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Causal Inference in Python: ML with DoWhy, PyTorch & More (2023)
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Adaptive ML with Python: Edge AI & Data Analytics (2022)
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ML with Python Cookbook: From Preprocessing to Deep Learning (2023)
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Mathematics for ML in Python: Theory & Applications (2024)
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Distributed ML Patterns: Scalable AI System Design (2024)
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ML with PySpark: NLP & Recommender Systems in Python (2021)
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Machine Learning for Astrophysics: AI in Space Science
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Scaling Python with Dask: Data Science to ML at Scale (2023)
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Quantitative Asset Management: ML & Factor Investing (2023)
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Deep Learning for Finance: AI Models for Trading in Python (2024)
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Mathematical Analysis of ML Algorithms: AI Theory & Proofs (2023)
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Machine Learning & AI: Modern Techniques & Applications (2022)
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Text as Data: ML for Social Science & AI Research (2022)
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Beginner’s Guide to Streamlit: Python ML Web Apps (2022)
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Information-Driven ML: Data Science as Engineering (2023)
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Time Series ML Recipes: Python AI & Deep Learning Guide (2023)
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Vectorization: Efficient ML Algorithm Implementations (2024)
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Smart Healthcare & ML: AI in Medical Innovation (2024)
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ML for Decision Makers: AI-Driven Business Strategies (2024)
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The Shape of Data: Geometry-Based ML & Data Analysis in R (2023)
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Architecting Data & ML Platforms: AI Innovation in the Cloud (2023)
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ML for Education: AI-Powered Learning & Teaching (2023)
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Machine Learning Q&A: 30 Essential AI Questions Answered (2024)
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ML for Auditors: AI-Powered Fraud Investigation (2022)
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Metaheuristic & ML Optimization: Strategies for Complex Systems (2024)
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Distributional Reinforcement Learning: Adaptive AI Models (2023)
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