Supervised and unsupervised learning for data science / edited by Michael W. Berry, Azlinah Mohamed and Bee Wah Yap

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TextPublication details: Switzerland : Springer, 2020Description: 187 pISBN:

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Current library	Call number	Status	Date due	Barcode
UMT Main Campus	006.31 SUP- (Browse shelf(Opens below))	Checked out	2026-05-01	138954

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Previous	006.31 SOM-M Machine learning with SVM and other kernel methods	006.31 SRI-P Practical natural language processing with Python with case studies from industries using text data a scale /	006.31 SUB-A Applied machine learning for data science practitioners /	006.31 SUP- Supervised and unsupervised learning for data science /	006.31 SUT-R Reinforcement learning : an introduction /	006.31 TAU-A Artificial intelligence basics : anon-technical intoduction /	006.31 THE-M Machine learning : a Bayesian and optimization perspective /	Next

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