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Debugging machine learning models with Python : develop high-performance, low-bias, and explainable machine learning and deep learning models /: develop high-performance, low-bias, and explainable machine learning and deep learning models. (2023)
Record Type:
Book
Title:
Debugging machine learning models with Python : develop high-performance, low-bias, and explainable machine learning and deep learning models /: develop high-performance, low-bias, and explainable machine learning and deep learning models. (2023)
Main Title:
Debugging machine learning models with Python : develop high-performance, low-bias, and explainable machine learning and deep learning models
Table of ContentsBeyond Code DebuggingMachine Learning Life CycleDebugging toward Responsible AIDetecting Performance and Efficiency Issues in Machine Learning ModelsImproving the Performance of Machine Learning ModelsInterpretability and Explainability in Machine Learning ModelingDecreasing Bias and Achieving FairnessControlling Risks Using Test-Driven DevelopmentTesting and Debugging for ProductionVersioning and Reproducible Machine Learning ModelingAvoiding and Detecting Data and Concept DriftsGoing Beyond ML Debugging with Deep LearningAdvanced Deep Learning TechniquesIntroduction to Recent Advancements in Machine LearningCorrelation versus CausalitySecurity and Privacy in Machine LearningHuman-in-the-Loop Machine Learning.
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