Applying Machine Learning to your Data with GCP

所在平台: CourseraArchive

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课程主页: https://www.coursera.org/archive/data-insights-gcp-apply-ml

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Google Cloud

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In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

使用GCP将机器学习应用于您的数据:在本模块中,我们定义什么是机器学习以及它如何使您的业务受益。您将看到实际中的ML演示,并学习关键的ML术语,例如实例,功能和标签。在交互式实验室中,您将练习调用可用的预先训练的ML API,以及仅使用SQL和BigQuery ML来构建自己的机器学习模型。 前提条件 为了充分利用本课程,参与者必须完成本专业的先前课程: •探索和准备数据 •存储和可视化数据 •体系结构和性能 &gt;&gt;&gt;通过注册该专业,您同意FAQ中列出的Qwiklabs服务条款,该条款位于:https://qwiklabs.com/terms_of_service&lt;&lt;&lt;

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