Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Machine Learning by Design: Patterns and Principles for Data Collection, Feature Engineering, and Model Development

Machine Learning Techniques for Hyperspectral Image Analysis Algorithms, Feature Engineering, and Practical Implementations

Machine Learning Pipeline Engineering: From Data Ingestion and Feature Stores to Automated Deployment

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