000			02972cam a22004217i 4500
001			21795607
003			EG-ScBUE
005			20220302104116.0
008			201109t2021 nyua f b 001 0 eng d
020			_a9781260462296
020			_a1260462293
035			_a(OCoLC)on1245422280
040			_aNWQ _beng _erda _cNWQ _dOCLCO _dYDXIT _dOCLCF _dDLC _dEG-ScBUE
082	0	4	_a006.31 _222 _bKON
100	1		_aKonasani, Venkat Reddy, _eauthor.
245	1	0	_aMachine learning and deep learning using Python and Tensorflow / _cVenkat Reddy Konasani, Shailendra Kadre.
264		1	_aNew York : _bMcGraw-Hill, _c[2021]
264		4	_c©2021
300			_axix, 533 pages : _billustrations ; _c27 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction to machine learning and deep learning -- Basics of Python programming and statistics -- Regression and logistic regression -- Decision trees -- Model selection and cross-validation -- Cluster analysis -- Random forests and boosting -- Artificial neural networks -- TensorFlow and Keras -- Deep learning hyperparameters -- Convolutional neural networks -- Recurrent neural networks and long short-term memory.
520			_a"This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts; Python programming and statistics fundamentals; Regression and logistic regression; Decision trees; Model selection and cross-validation; Cluster analysis; Random forests and boosting; Artificial neural networks; TensorFlow and Keras; Deep learning hyperparameters; Convolutional neural networks; Recurrent neural networks and long short-term memory."-- _cPage 4 of cover.
630	0	7	_aTensorFlow. _2BUEsh
650		7	_aMachine learning. _2BUEsh
650		7	_aNeural networks (Computer science) _2BUEsh
650		7	_aPython (Computer program language) _2BUEsh
650		7	_aArtificial intelligence. _2BUEsh _937100
653			_bCOMSCI _cFebruary2022
655			_vReading book _934232
700	1		_aKadre, Shailendra, _eauthor.
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBB
999			_c29813 _d29784