机器学习在谷歌云大查询使用SQL

Ravi Kashyap
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引用次数: 0

摘要

在当今世界,数据已经成为企业、政府、研究人员和个人的宝贵资源。然而,要真正从数据中提取价值,必须提供适当的上下文。简单地收集和分析数据而不了解其背景可能导致不准确的结论和错误的决策。推动组织成功的一个重要因素是收集可以分析的数据,以获得对业务的更深入的了解,并创造新的机会,使业务能够根据消费者偏好创新产品/服务。数据是所有企业的命脉,数据驱动的决策可以在竞争中保持领先地位。机器学习可以成为释放企业和客户数据价值的关键,使企业能够利用其数据做出更准确的预测和决策。它可以帮助企业识别数据中的模式和趋势,这些模式和趋势可能对人类来说并不明显,从而实现更准确的预测和更好的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning in Google Cloud Big Query using SQL
- In today's world, data has become a valuable resource for businesses, governments, researchers, and individuals alike. However, to truly extract value from data, it is essential to provide the proper context. Simply collecting and analyzing data without understanding its context can lead to inaccurate conclusions and misguided decision-making. An important factor that drives a successful organization is gathering data that can be analyzed to gain greater insights into the business and enable new opportunities, allowing the business to innovate products/services based on consumer preference. Data is the lifeblood of all businesses, and data-driven decisions can make a significant difference in staying ahead of the competition. Machine learning can be the key to unlocking the value of corporate and customer data, enabling businesses to leverage their data to make more accurate predictions and decisions. It can help businesses to identify patterns and trends in their data that might not be apparent to humans, leading to more accurate predictions and better decisions.
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