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Show Notes
Prediction Machines, Updated and Expanded (Ajay Agrawal)
- Amazon USA Store: https://www.amazon.com/dp/1647824672?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Prediction-Machines%2C-Updated-and-Expanded-Ajay-Agrawal.html
- Apple Books: https://books.apple.com/us/audiobook/natural-language-processing-in-action-understanding/id1478670876?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Prediction+Machines+Updated+and+Expanded+Ajay+Agrawal+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1647824672/
#Cheapprediction #Predictionandjudgment #Decisionsystems #AIcomplements #Uncertaintyreduction #PredictionMachinesUpdatedandExpanded
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence is a nontechnical business and economics book by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. First published in 2018 and revised in 2022, it offers a deliberately narrow but powerful lens for understanding modern machine learning: AI lowers the cost of prediction. The authors use prediction in an economic sense, meaning the conversion of available data into information that is currently unknown. This framing shifts attention away from vague claims that machines are becoming generally intelligent and toward the concrete changes that follow when accurate forecasts become inexpensive, fast, and scalable. Aimed at managers, entrepreneurs, investors, policymakers, and informed general readers, the book explains how prediction fits into decisions, workflows, organizational design, and competitive strategy. Its purpose is not to teach technical machine learning methods. Instead, it provides a practical vocabulary for identifying where AI creates value, what inputs it requires, and why human judgment remains central even as prediction technology improves.
- Amazon USA Store: https://www.amazon.com/dp/1647824672?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Prediction-Machines%2C-Updated-and-Expanded-Ajay-Agrawal.html
- Apple Books: https://books.apple.com/us/audiobook/natural-language-processing-in-action-understanding/id1478670876?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Prediction+Machines+Updated+and+Expanded+Ajay+Agrawal+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1647824672/
#Cheapprediction #Predictionandjudgment #Decisionsystems #AIcomplements #Uncertaintyreduction #PredictionMachinesUpdatedandExpanded
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence is a nontechnical business and economics book by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. First published in 2018 and revised in 2022, it offers a deliberately narrow but powerful lens for understanding modern machine learning: AI lowers the cost of prediction. The authors use prediction in an economic sense, meaning the conversion of available data into information that is currently unknown. This framing shifts attention away from vague claims that machines are becoming generally intelligent and toward the concrete changes that follow when accurate forecasts become inexpensive, fast, and scalable. Aimed at managers, entrepreneurs, investors, policymakers, and informed general readers, the book explains how prediction fits into decisions, workflows, organizational design, and competitive strategy. Its purpose is not to teach technical machine learning methods. Instead, it provides a practical vocabulary for identifying where AI creates value, what inputs it requires, and why human judgment remains central even as prediction technology improves.
