000			01273nam a22002537a 4500
003			KOHA_mirakil
005			20241031125258.0
008			241031b tu ||||| 97|| 00| 0 tur d
020			_a9780393868333
040			_aTR-IsTMV _btur _cTR-IsTMV
041			_aeng
082			_a006.3 _bCHR.A 2020
100	1		_aChristian, Brian _950468
245	1	0	_aThe alignment problem : machine learning and human values / _cBrian Christian.
246			_a[Uyum sorunu: makine öğrenimi ve insan değerleri]
260			_aNew York : _aLondra : _bW. W. Norton & Company, _c2020.
300			_a476 sayfa ; _c21 cm.
500			_aArka Kapak: Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.
504			_aİndeks bulunmaktadır.
650		0	_aGenel Konular
650		0	_aÖzel bilgisayar yöntemleri
650		0	_aYapay bellek
942			_2ddc _cBK
999			_c5766 _d5766
900			_aHacer PERGEL _bHacer PERGEL