000			02230nam a22003017a 4500
003			IIITD
005			20240513145314.0
008			240513b |||||||| |||| 00| 0 eng d
020			_a9781324074588
040			_aIIITD
082			_a310.9 _bWIG-H
100			_aWiggins, Chris
245			_aHow data happened : _ba history from the age of reason to the age of algorithms _cby Chris Wiggins and Matthew L. Jones
260			_aNew York : _bW.W. Norton & Company, _c©2023
300			_axiv, 367 p. : _b ill. ; _c24 cm.
504			_aIncludes bibliographical references (pages [313]-351) and index.
505			_tCHAPTER 1: The stakes _tCHAPTER 2: Social physics and l'homme moyen _tCHAPTER 3: The statistics of the deviant _tCHAPTER 4: Data, intelligence, and policy _tCHAPTER 5: Data's mathematical baptism _tCHAPTER 6: Data at war _tCHAPTER 7: Intelligence without data _tCHAPTER 8: Volume, variety, and velocity _tCHAPTER 9: Machines, learning _tCHAPTER 10: The science of data _tCHAPTER 11: The battle for data ethics _tCHAPTER 12: Persuasion, ads, and venture capital _tCHAPTER 13: Solutions beyond solutionism.
520			_a"From facial recognition--capable of checking people into flights or identifying undocumented residents--to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. Expanding on the popular course they created at Columbia University, Chris Wiggins and Matthew L. Jones illuminate the ways in which data has long been used as a tool and a weapon in arguing for what is true, as well as a means of rearranging or defending power"--
650			_aBig data -- History.
650			_aSocial aspects.
650			_aComputer science -- History.
650			_aInformatique -- Histoire
650			_aQuantitative research -- History
650			_aMathematics
650			_aTECHNOLOGY & ENGINEERING / History.
700			_aJones, Matthew L.
942			_2ddc _cBK
999			_c172392 _d172392