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Interpreting machine learning models: Learn model interpretability and explainability methods

By:

Nandi, Anirban

Contributor(s):

Pal, Aditya Kumar

Material type: Text

Text

TextPublication details: New York, Apress, 2022Description: xxiii, 343pISBN:

9781484284094

Subject(s):

Machine Learning

DDC classification:

006.31 NAN/I

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Computer Science	Machine Learning/ Deep Learning	006.31 NAN/I (Browse shelf(Opens below))	Available		7043

Browsing Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre shelves, Shelving location: Computer Science, Collection: Machine Learning/ Deep Learning Close shelf browser (Hides shelf browser)

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Previous	006.31 MUR/M;7 Machine learning: A probabilistic perspective	006.31 MUR/M;8 Machine learning: A probabilistic perspective	006.31 MUR/M;9 Machine learning: A probabilistic perspective	006.31 NAN/I Interpreting machine learning models: Learn model interpretability and explainability methods	006.31 NAN/R Reinforcement learning: With open AI, Tensorflow and Keras using Python	006.31 NEW/M Machine learning with core ML: An iOS developer's guide to implementing machine learning in mobile apps	006.31 NOW/A Advanced structured prediction	Next

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