000 | 01083nam a22002177a 4500 | ||
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003 | IIITD | ||
005 | 20240830020004.0 | ||
008 | 231216b xxu||||| |||| 00| 0 eng d | ||
020 | _a9789352138128 | ||
040 | _aIIITD | ||
082 |
_a006.31 _bPAT-H |
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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. |
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260 |
_bO′Reilly, _aMumbai : _c©2023 |
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300 |
_axix, 337 p. : _b ill. ; _c24 cm. |
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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 |
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650 | _aPython | ||
650 | _aApplied machine learning | ||
650 | _aUnlabeled data | ||
942 |
_2ddc _cBK _02 |
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999 |
_c171827 _d171827 |