000			01243nam a2200205Ia 4500
008			240825s9999 xx 000 0 und d
020			_a9789355422675 _qpbk
041			_aeng
082			_a006.31 _bHUY
100			_aHuyen, chip
245		0	_aDesigning Machine Learning Systems : An Iterative Process For Production Ready Applications _c/ Huyen chip
250			_a1st edition
260			_c2023 _a CA _bO'Reilly Media, Inc.,
300			_axvi, 367 pages,: _bill,; _c23 cm.
500			_a1st Reprint 2022, 2nd Reprint 2023.
504			_aindex
520			_aMany tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments.
650			_aComputer Science Machine learning Development
942			_cENGLISH
999			_c541244 _d541244