000			02760nam a2200397 i 4500
001			45024
003			BD-DhAAL
005			20251110160601.0
008			251110r20252022ii a b 001 0 eng d
010			_a 2023275143
020			_a9789355422675 (paperback)
020			_a1098107969 (paperback)
020			_a9781098107963 (paperback)
035			_a23049201
035			_a(OCoLC)1286145997
040			_aYDX _beng _cYDX _erda _dBDX _dUKMGB _dCDX _dUOK _dOCLCF _dOTP _dDLC _dBD-DhAAL
042			_alccopycat
050	0	0	_aQ325.5 _b.H89 2022
082			_a006.31 _223
100	1		_aHuyen, Chip, _eauthor. _959810
245	1	0	_aDesigning machine learning systems : _ban iterative process for production-ready applications / _cChip Huyen.
246	3	8	_aDesigning machine learning systems
260			_aNavi Mumbai : _bShroff Publishers and Distributors ; _aSebastopol, CA : _bO'Reilly Media, _cc2022 [reprinted 2025].
300			_axvi, 367 pages : _billustrations ; _c24 cm
500			_aFirst edition : May 2022
504			_aIncludes bibliographical references and index.
505	0	0	_tOverview of machine learning systems -- _tIntroduction to machine learning systems design -- _tData engineering fundamentals -- _tTraining data -- _tFeature Engineering -- _tModel development and offline evaluation -- _tModel develoypment and prediction service -- _tData distribution shifts and monitoring -- _tContinual learning and test in production -- _tInfrastructure and tooling for MLOps -- _tThe human side of machine learning
520			_a"Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references."--Amazon.com.
526			_aCSE
650		0	_aMachine learning.
650		0	_aApplication software _xDesign. _959811
650		0	_aComputer science.
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK
999			_c47625 _d47625