
ISBN
| 9781633695672 |
DDC
| 658.0563 |
Tác giả CN
| Agrawal, Ajay |
Nhan đề
| Prediction machines : The simple economics of artificial intelligence / Ajay Agrawal...[et al.] |
Thông tin xuất bản
| Boston, Massachusetts : Harvard Business Review Press, 2018 |
Mô tả vật lý
| x, 250 p. ; 23 cm. |
Tóm tắt
| The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. |
Thuật ngữ chủ đề
| Artificial intelligence -Economic aspects |
Thuật ngữ chủ đề
| Decision making-Statistical methods |
Thuật ngữ chủ đề
| Forecasting-Statistical methods |
Khoa
| Khoa Quản trị Kinh doanh |
Khoa
| Quỹ Châu Á |
Tác giả(bs) CN
| Gans, Joshua |
Tác giả(bs) CN
| Goldfarb, Avi |
Địa chỉ
| 300Q12_Kho Mượn_02(5): 067703-4, 070474-5, 079552 |
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041 | |aeng |
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044 | |amau |
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082 | |a658.0563|bA2773|223 |
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100 | |aAgrawal, Ajay |
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245 | |aPrediction machines : |bThe simple economics of artificial intelligence / |cAjay Agrawal...[et al.] |
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260 | |aBoston, Massachusetts : |bHarvard Business Review Press, |c2018 |
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300 | |ax, 250 p. ; |c23 cm. |
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520 | |aThe idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. |
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541 | |aSách tặng từ Quỹ Châu Á |
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650 | |aArtificial intelligence |vEconomic aspects |
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650 | |aDecision making|vStatistical methods |
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650 | |aForecasting|vStatistical methods |
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690 | |aKhoa Quản trị Kinh doanh |
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690 | |aQuỹ Châu Á |
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700 | |aGans, Joshua |eauthor |
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700 | |aGoldfarb, Avi|eauthor |
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852 | |a300|bQ12_Kho Mượn_02|j(5): 067703-4, 070474-5, 079552 |
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856 | 1|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/600 congnghe/anhbiasach/17814_prediction machinesthumbimage.jpg |
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890 | |a5|b0|c0|d0 |
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