000			a
999			_c198762 _d198762
020			_a9789352139057
020			_a9781492032649
040			_cCUS
082			_a006.31 _bGER/H
100			_aGeron, Aurelien
245			_aHands-on machine learning with scikit-learn and tensorflow: concepts, tools, and techniques to build intelligent systems/ _cAurelien Geron
250			_a2nd ed.
260			_aKolkata: _bShroff Publishers, _c2019.
300			_axxv, 819 p. : _bcol. ill. ; _c24 cm.
505			_aThe fundamentals of machine learning -- The machine learning landscape -- End-to-end machine learning project -- Classification -- Training models -- Support vector machines -- Decision trees -- Ensemble learning and random forests -- Dimensionality reduction -- Neural networks and deep learning -- Up and running with TensorFlow -- Introduction to artificial neural networks -- Training deep neural nets -- Distributing TensorFlow across devices and servers -- Convolutional neural networks -- Recurrent neural networks -- Autoencoders -- Reinforcement learning -- Exercise solutions -- Machine learning project checklist -- SVM dual problem -- Autodiff -- Other popular ANN architectures
650			_aMachine learning
650			_aArtificial intelligence
942			_cWB16