000 | a | ||
---|---|---|---|
999 |
_c198789 _d198789 |
||
020 | _a9781492035640 | ||
020 | _a9789352138128 | ||
040 | _cCUS | ||
082 |
_a005.133 _bPAT/H |
||
100 | _aPatel, Ankur A. | ||
245 |
_aHands-on unsupervised learning using Python: how to build applied machine learning solutions from unlabeled data/ _cAnkur A. Patel |
||
260 |
_aKolkata: _bShroff Publishers, _c2019. |
||
300 |
_axix, 337 p. : _bill. ; _c24 cm. |
||
505 | _aPart 1. Fundamentals of unsupervised learning. Unsupervised learning in the machine learning ecosystem -- End-to-end machine learning project -- Part 2. Unsupervised learning using Scikit-learn. Dimensionality reduction -- Anomaly detection -- Clustering -- Group segmentation -- Part 3. Unsupervised learning using TensorFlow and Keras. Autoencoders -- Hands-on autoencoder -- Semisupervised learning -- Part 4. Deep unsupervised learning using TensorFlow and Keras. Recommender systems using restricted Boltzmann machines -- Feature detection using deep belief networks -- Generative adversarial networks -- Time series clustering -- Conclusion. | ||
650 | _aPython (Computer program language) | ||
650 | _aMachine learning | ||
650 | _aArtificial intelligence | ||
942 | _cWB16 |