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精益AI
book

精益AI

by Lomit Patel
July 2021
Beginner to intermediate
239 pages
3h 25m
Chinese
China Electric Power Press Ltd.
Content preview from 精益AI
如何降低风险
|
185
业务的不知名初创平台品牌就更难以获得竞争力。在这一趋势下,有发布广
告需要的企业增长团队也会将更多的预算转移给这些媒体巨头。这样一来,
巨头的算法会更加智能,而小平台也更难提高自有
AI
的能力和竞争力,这就
形成了一个循环。
考虑到
Facebook
等公司的大量隐私保护失败案例,严格的联邦隐私法律势在
必行。除非新的联邦隐私法中有关于数据可迁移性的条款,让人们能够将数
据从
Facebook
、
Google
或
Amazon
迁移到另一个平台,以帮助其发展业务。
否则,主流大平台只会从中获得更大的竞争优势。这很有讽刺意味,反垄断
法案也更有执行的必要了。目前我们还不知道,广告主还需要与
Facebook
、
Google
或
Amazon
分享多少第一手数据,这些用户数据只会使得这些巨头的
算法具备更智能地预测用户意图的能力。也许这些媒体巨头的
AI
并不需要那
么多侵入性隐私数据即可达到相同的效果。
13.5 明确的目标
你需要为
AI
智能机器设定明确的量化目标,以此衡量
AI
驱动的机器的效率
和有效性。这样一来,你便能够监控
AI
的效果,以确保其正确利用了训练数
据,并以你明确定义的
ROI
或
CAC
为目标做出了优化。如果计算机不能明
确知道你设定的增长目标,风险就会随之而来。以用户获取为例,如果你没
有设定一个明确的
ROI
目标,机器就不知道花多少钱才是上限,也就可能会
以极低的成本效率来追求新的客户。
13.6 机器学习模型的可适应性
在预测分析和机器学习中,
Wikipedia
定义了“概念漂移”一词。概念漂移指
模型试图预测的目标变量的统计属性会以无法预料的方式随时间变化 ...
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Publisher Resources

ISBN: 9787519856687