开始时间: 11/14/2018 持续时间: Unknown
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所在平台: Coursera 课程类别: 计算机科学 大学或机构: CourseraNew |
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课程主页: https://www.coursera.org/learn/gcp-production-ml-systems
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In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow
In this module, we’ll talk about what else a production ML system needs to do and how you can meet those needs. We’ll then review some important, high-level, design decisions around training and model serving that you’ll need to make in order to get the right performance profile for your model.
