000			03033cam a2200445 i 4500
020			_a9781119406365 _q(electronic book)
020			_a1119406366 _q(electronic book)
020			_a9781119406341 _q(electronic book)
020			_a111940634X _q(electronic book)
020			_a9781119406372 _q(electronic bk.)
020			_a1119406374 _q(electronic bk.)
020			_z9781119406334 _q(cloth)
020			_z1119406331
037			_aCC4BC555-652B-4238-A97E-D3BD298A645D _bOverDrive, Inc. _nhttp://www.overdrive.com
040			_cCUS
072		7	_aBUS _x082000 _2bisacsh
072		7	_aBUS _x041000 _2bisacsh
072		7	_aBUS _x042000 _2bisacsh
072		7	_aBUS _x085000 _2bisacsh
100	1		_aSterne, Jim, _d1955- _eauthor.
245	1	0	_aArtificial intelligence for marketing : _bpractical applications / _cJim Sterne.
260		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2017]
300			_a1 online resource (xix, 344 pages).
490	1		_aWiley & SAS business series
505	0		_aCover ; Title Page ; Copyright ; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Welcome to the Future ; Welcome to Autonomic Marketing ; Welcome to Artificial Intelligence for Marketers ; Detect ; Decide ; Develop ; Whom Is This Book For? ; The Bright, Bright Future.
505	8		_aIs AI So Great if It's So Expensive? What's All This AI Then? ; The AI Umbrella ; The Machine that Learns ; Guess the Animal ; The Machine that Programs Itself ; Are We There Yet? ; AI-pocalypse; The AI that Ate the Earth ; Intentional Consequences Problem ; Unintended Consequences.
505	8		_aWill a Robot Take Your Job? Machine Learning's Biggest Roadblock ; Machine Learning's Greatest Asset ; How We Used to Dive into Data ; Variety of Data Is the Spice of Life ; Open Data ; Data for Sale ; But Wait-There's More; A Collaboration of Datasets ; A Customer Data Taxonomy.
505	8		_aAre We Really Calculable? Notes ; Chapter 2: Introduction to Machine Learning ; Three Reasons Data Scientists Should Read This Chapter ; Every Reason Marketing Professionals Should Read This Chapter ; We Think We're So Smart ; Define Your Terms ; All Models Are Wrong ; Useful Models.
505	8		_aToo Much to Think About Machines Are Big Babies ; Where Machines Shine ; High Cardinality ; High Dimensionality ; Strong versus Weak AI ; The Right Tool for the Right Job ; Classification versus Regression ; Supervised Machine Learning ; Unsupervised Learning ; Neural Networks.
650		0	_aMarketing.
650		0	_aArtificial intelligence.
650		7	_aBUSINESS & ECONOMICS _xIndustrial Management. _2bisacsh
650		7	_aBUSINESS & ECONOMICS _xManagement. _2bisacsh
650		7	_aBUSINESS & ECONOMICS _xManagement Science. _2bisacsh
650		7	_aBUSINESS & ECONOMICS _xOrganizational Behavior. _2bisacsh
650		7	_aArtificial intelligence. _2fast _0(OCoLC)fst00817247
650		7	_aMarketing. _2fast _0(OCoLC)fst01010167
830		0	_aWiley and SAS business series.
856	4	0	_uhttps://doi.org/10.1002/9781119406341 _zWiley Online Library
942			_cEBK
999			_c208807 _d208807