Production Machine Learning Systems

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/gcp-production-ml-systems

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课程详情

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

生产机器学习系统:在本专业的第二门课程中,我们将深入研究生产环境中高性能ML系统的组件和最佳实践。 先决条件:基本SQL,熟悉Python和TensorFlow

课程大纲

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.

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课程简介

本课程将深入研究生产环境中高性能机器学习系统的组件和最佳实践。 先决条件:基本SQL,熟悉Python和TensorFlow。

课程标签

Tensorflow 机器学习 机器学习系统 Python 高性能机器学习系统 Google云平台 Google

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