000			01192nam a22002297a 4500
003			IIITD
005			20240203020003.0
008			230615b xxu||||| |||| 00| 0 eng d
020			_a9789355422354
040			_aIIITD
082			_a006.31 _bPRO-A
100			_aProsise, Jeff
245			_aApplied machine learning and AI for engineers : _bsolve business problems that can't be solved algorithmically _cby Jeff Prosise
260			_bO'Reilly, _aSebastopol : _c©2023
300			_axx, 400 p. : _bill. ; _c23 cm.
504			_aThis book includes an index.
505			_tI. Machine Learning with Scikit-Learn _t1. Machine Learning _t2. Regression Models _t3. Classification Models _t4. Text Classification _t5. Support Vector Machines _t6. Principal Component Analysis _t7. Operationalizing Machine Learning Models _tII. Deep Learning with Keras and TensorFlow _t8. Deep Learning _t9. Neural Networks _t10. Image Classification with Convolutional Neural Networks _t11. Face Detection and Recognition _t12. Object Detection _t13. Natural Language Processing _t14. Azure Cognitive Services
650			_aMachine learning
650			_aDeep learning
650			_aNeural networks
942			_2ddc _cBK _02
999			_c171242 _d171242