000			01432nam a22002777i 4500
005			20250819205442.0
008			250722s2022 ii ao||fr|||| 00| 0 eng d
020			_a9789390684625
040			_aEG-GaU‬‬ _cEG-GaU‬‬ _dEG-GaU‬‬ _erda
082	0	4	_223 _a006.3 _bA.M.A
100	1		_aAmandeep, _eauthor. _960455
245	1	0	_aImplement NLP use‑cases using BERT : _bexplore the implementation of NLP tasks using the deep learning framework and Python / _cAmandeep.
250			_a 1st edition.
264		1	_aNew Delhi : _bBPB Publications, _c2021.
300			_a164 pages : _billustrations ; _c23 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical reference.
505	0		_aChapter 1: Introduction to NLP and Use‑Cases ‡ 2: Text Classification Methods ‡ 3: Named Entity Recognition ‡ 4: BERT Overview and Applications ‡ 5: BERT for Text Classification ‡ 6: BERT Code Implementation.
520			_aAimed at data scientists and ML engineers, this book offers a practical guide to implementing real‑world NLP applications using BERT and Python. Contains clear explanations and Python code examples.:contentReference[oaicite:1]{index=1}
650		0	_aArtificial intelligence.
650		0	_aNatural language processing. _960456
942			_2ddc _cBK
999			_c11077 _d11077