输入和收集的统计信息越多，算法就越能准确地预测一系列结果。

The more inputs and statistical information collected, the better the algorithm will be at predicting a range of outcomes.

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例如，在处理1.3万幅图像的数据库时，算法的准确率为95%，而在处理100万幅图像时，算法的准确率约为70%。

Algorithms that were right 95% of the time when they were dealing with a 13,000-image database, for example, were accurate about 70% of the time when confronted with 1 million images.

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最后，IBM帮助他们建立起一套IT的基础设施用于收集数据，应用算法，准确的告诉工人卡车中装载什么，哪辆车用于装载货物。

And finally, IBM helped set up an it infrastructure to gather the data, apply the algorithm, and tell workers exactly what to load on the trucks and where to find it.

youdao

Obviously-- and that's a bad way of saying it, I said constant the previous time-- in the linear case, it's subtract by certain amount.

这么描述很不准确，我之前在，线性算法中也说了常数,它是每次减少固定的量。

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