基于Google云平台的TensorFlow端到端机器学习

End-to-End Machine Learning with TensorFlow on GCP

1012 次查看
Google 云端平台
Coursera
  • 完成时间大约为 11 个小时
  • 高级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).

One of the best ways to review something is to work with the concepts and technologies that you have learned.

So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform

Prerequisites:
Basic SQL, familiarity with Python and TensorFlow

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课程大纲

Welcome to the Course

We'll give you an overview of this course and reveal the upcoming Advanced Machine Learning with TensorFlow on GCP specialization.

Machine Learning (ML) on Google Cloud Platform (GCP)

This module reviews the steps of deploying machine learning in a production environment.

Explore the Data

This module explores a large dataset using Datalab and BigQuery.

Create the dataset

This modules shows how to use Pandas in Datalab and sample a dataset for local development.

Build the Model

This module let's you develop a machine learning model in Tensorflow.

Operationalize the model

This module explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on Cloud AI Platform.

Summary

This module reviews what you've learned in this course.

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