000			01605nam a22002777i 4500
005			20250723155432.0
008			250723s2020 ii ao||fr|||| 00| 0 eng d
020			_a9789389845365
040			_aEG-GaU‬‬ _cEG-GaU‬‬ _dEG-GaU‬‬ _erda
082	0	4	_223 _a006..3 _bn.a.p.
100	1		_aNag, Avishek, _eauthor. _960495
245	1	0	_aPragmatic machine learning with Python : _blearn how to deploy machine learning models in production / _cAvishek Nag.
250			_a 1st edition.
264		1	_aNew Delhi : _bBPB Publications, _c2020.
300			_a316 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references.
505		0	_a1. Introduction to ML & mathematical preliminaries ‡ 2. Classification ‡ 3. Regression ‡ 4. Clustering ‡ 5. Deep learning & neural networks ‡ 6. Miscellaneous unsupervised learning ‡ 7. Text mining ‡ 8. Machine learning models in production ‡ 9. Case studies & data science storytelling.
520			_aBalanced guide combining mathematical foundations with practical Python implementations. Covers supervised and unsupervised techniques, deep learning, text analytics, and strategies to deploy models in production-grade systems with PMML. ([Google Books, BPB Online, AbeBooks] :contentReference[oaicite:1]{index=1})
650		0	_aMachine learning _xStudy and teaching. _960492
650		0	_aMachine learning _xImplementation. _960427
942			_2ddc _cBK
999			_c11093 _d11093