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040			_aYDX _beng _cYDX _erda _dBDX _dUKMGB _dCDX _dUOK _dOCLCF _dOTP _dDLC _dBD-SySUS
082			_222 _a006.31 _bHUD
100	1		_aHuyen, Chip, _eauthor. _963261
245	1	0	_aDesigning machine learning systems : _ban iterative process for production-ready applications / _cChip Huyen.
250			_aFirst edition.
264		1	_aIndia : _bSPD, _c2022.
300			_axvi, 367 pages : _billustrations ; _c24 cm
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.
650		0	_aMachine learning. _963262
650		0	_aApplication software _xDesign. _963263
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795 _963264
942			_2ddc _cBK
999			_c84932 _d84932