000			01735nam a22002777a 4500
005			20260715172030.0
008			260715s2022 |||||||| |||| 00| 0 eng d
020			_a9781098106225
040			_cPK-LaUMT
082			_a006.31 _bREL-
245	0	0	_aReliable machine learning : _bapplying SRE principles to ML in production / _cCathy Chen . . . [et al.]
260			_aBeijing : _bO'Reilly, _c2022
300			_axxix, 376 p.
500			_aIndex present
520			_aWhether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind
546			_aEng
650			_aMachine learning
650			_aMachine learning-Industrial applications _913564
700	1		_aChen, Cathy _913693
700	1		_aMurphy, Niall Richard _913694
700	1		_aParisa, Kranti _913695
700	1		_aSculley, D. _913696
700	1		_aUnderwood, Todd _913697
700	1		_aCharrington, Sam _913698
942			_cBK
999			_c141444 _d141444