Data Science & Analytics
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Optimization Techniques for ML & Imaging: Advanced Methods
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Practical Data Mining: Techniques & Real-World Applications (2023)
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Becoming a Data Head: Think, Speak & Understand Data Science (2021)
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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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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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ML & Optimization in Image Processing & IoT (2023)
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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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Linear Algebra for Data Mining: Tools & Techniques (2023)
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ML in Python for Dynamic Process Systems: A Practical Guide (2023)
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Malware Analysis & Intrusion Detection in Cyber Systems (2023)
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ML & Data Mining for Sports Analytics: 9th Intl Workshop
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Mathematica & Wolfram for Data Science: ML Applications (2024)
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Sustainable IoT & ML: Data Analytics for Smart Applications (2024)
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5G Network Security: Attack Detection with Data Mining (2024)
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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 & Deep Learning in NLP: AI-Powered Language Processing (2024)
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ML with Python Cookbook: From Preprocessing to Deep Learning (2023)
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