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Declarative Machine Learning Systems:The future of machine learning will depend on it being in the hands of the rest of us

机译:声明机器学习系统:机器学习的未来取决于它掌握在我们其他人的手中

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In the past 20 years ML (machine learning) has progressively moved from an academic endeavor to a pervasive technology adopted in almost every aspect of computing. ML-powered products are now embedded in every aspect of our digital lives: from recommendations of what to watch, to divining our search intent, to powering virtual assistants in consumer and enterprise settings. Moreover, recent successes in applying ML in natural sciences have revealed that ML can be used to tackle some of the hardest real-world problems that humanity faces today.
机译:在过去的20年里,ML(机器学习)逐步从学术努力转移到几乎所有各个方面所采用的普遍技术。 ML-Powered产品现已嵌入我们的数字生活的各个方面:从观看的建议,将我们的搜索意图划分为消费者和企业设置中的虚拟助手供电。 此外,最近在自然科学中申请ML的成功揭示了ML可以用来解决人类今天面临的一些最艰难的真实问题。

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