Machine Learning Production Systems: Engineering Machine Learning
$67.00
Machine Learning Production Systems: Engineering Machine Learning Models and PipelinesThis book provides four in-depth sections that cover all aspects of machine learning engineering:
Data: collecting, labeling, validating, automation, and data preprocessing; data feature engineering and selection; data journey and storageModeling: high performance modeling; model resource management techniques; model analysis and interoperability; neural architecture searchDeployment: model serving patterns and infrastructure for ML models and LLMs; management and delivery; monitoring and loggingProductionalizing: ML pipelines; classifying unstructured texts and images; genAI model pipelines
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