施耐德就指出过精明的机器研究工具能够处理优步的数据堆并且能够预测出乘车需求大于供给的时间和地点。无需等待需求上涨亦无需司机查看演唱会的日程。
Mr Schneider noted that clever machine-learning tools could process Uber's piles of data and determine when and where demand is likely to outstrip the supply of cars.
施耐德就指出过精明的机器研究工具能够处理优步的数据堆并且能够预测出乘车需求大于供给的时间和地点。无需等待需求上涨亦无需司机查看演唱会的日程。
Mr Schneider noted that clever machine-learning tools could process Uber's piles of data and determine when and where demand is likely to outstrip the supply of cars.
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