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Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices

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Material type: Text

TextPublication details: USA CRC Press 2022Edition: 1stDescription: xiii,348pSubject(s):

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Holdings
Item type	Current library	Home library	Call number	Status	Notes	Date due	Barcode
Books	Central Library	Central Library	006.31 INT (Browse shelf(Opens below))	Available	09/10/2023		CLIB134128

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	006.31 GOR Machine Learning: A constraint-based approach	006.31 GUP Memetic Computation: The Mainspring of knowledge Transfer in a Data-Driven Optimization Era	006.31 HOO Machine Learning For The Quantified Self: on the art of learning from sensory data	006.31 INT Intelligent Systems and Machine Learning for Industry: Advancements, Challenges, and Practices	006.31 JAP Evaluating Learning Algorithms: A classification perspective	006.31 KAL Machine Learning: Theory and practice	006.31 KEL Fundamentals of Machine Learning for Predictive Data Analytics	Next

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