• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    迪恩网络公众号

aws-samples/machine-learning-samples: Sample applications built using AWS' A ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

aws-samples/machine-learning-samples

开源软件地址(OpenSource Url):

https://github.com/aws-samples/machine-learning-samples

开源编程语言(OpenSource Language):

Python 69.0%

开源软件介绍(OpenSource Introduction):

Amazon Machine Learning Samples

Each subdirectory contains sample code for using Amazon Machine Learning. Refer to the README.md file in each sub-directory for details on using each sample.

Targeted Marketing Samples

These samples show how to use the Amazon Machine Learning API for a targeted marketing application. This follows the "banking" dataset example described in the Developer Guide. There are three versions available:

Social Media and Amazon Mechanical Turk

This sample application shows how to use Amazon Mechanical Turk to create a labeled dataset from raw tweets, and then build a machine learning model using the Amazon Machine Learning API that predicts whether or not new tweets should be acted upon by customer service. The sample shows how to set up an automated filter using AWS Lambda that monitors tweets on an Amazon Kinesis stream and sends notifications whenever the ML Model predicts that a new tweet is actionable. Notifications go to Amazon SNS, allowing delivery to email, SMS text messages, or other software services.

Mobile Prediction Samples

These samples show how to use the Amazon Machine Learning API to make real-time predictions from a mobile device. There are two versions available:

K-fold Cross-validation Sample

This sample shows how to use the Amazon Machine Learning API to evaluate ML models using k-fold cross-validation.

Other tools

A collection of simple scripts to help with common tasks.

Support

For assistance with using the Amazon Machine Learning Service, or these samples, please see the AWS Forums.




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap