000			01131nam a2200229Ia 4500
005			20250208114401.0
008			240825s9999 xx 000 0 und d
020			_a9789355420435 _qpbk
041			_aeng
082			_a006.31 _bTOK
100			_aTok, Wee Hyong
245		0	_aPractical weak supervision _c/Wee Hyong Tok _bdoing more with less data
250			_a1st ed.
260			_cc2022 _aSebastopol, CA _bO'Reilly Media
300			_axvii, 169 p. _bill. _c23 cm.
500			_aReprint, 2021
504			_aindex
520			_aMost data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models.
650			_aComputer vision; Natural language processing (Computer science); Supervised learning (Machine learning)
700			_aAmit Bahree, Senja Filipi
942			_cENGLISH
999			_c541246 _d541246