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003 IIITD
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020 _a9789352138128
040 _aIIITD
082 _a006.31
_bPAT-H
100 _aPatel, Ankur A.
245 _aHands-on unsupervised learning using python :
_bhow to build applied machine learning solutions from unlabeled data
_cby Ankur A. Patel.
260 _bO′Reilly,
_aMumbai :
_c©2023
300 _axix, 337 p. :
_b ill. ;
_c24 cm.
505 _t1.Unsupervised Learning in the Machine Learning Ecosystem
_t2.End-to-End Machine Learning Project
_t3.Dimensionality Reduction
_t4.Anomaly Detection
_t5.Clustering
_t6.Group Segmentation
_t7.Autoencoders
_t8.Hands-On Autoencoder
_t9.Semisupervised Learning
_t10.Recommender Systems Using Restricted Boltzmann Machines
_t11.Feature Detection Using Deep Belief Networks
_t12.Generative Adversarial Networks
_t13.Time Series Clustering
650 _aPython
650 _aApplied machine learning
650 _aUnlabeled data
942 _2ddc
_cBK
_01
999 _c171827
_d171827