- Python Machine Learning Blueprints
- Alexander Combs Michael Roman
- 78字
- 2021-07-02 13:49:40
Deployment
There are a number of options you can choose from when you decide to put your machine learning model into production. It depends substantially on the nature of the application. Deployment could include anything from a cron job run on your local machine to a full-scale implementation deployed on an Amazon EC2 instance.
We won't go into detail regarding specific implementations here, but we will have a chance to delve into different deployment examples throughout the book.
推薦閱讀
- 網絡服務器配置與管理(第3版)
- Effective STL中文版:50條有效使用STL的經驗(雙色)
- 計算機應用與維護基礎教程
- 數字邏輯(第3版)
- AMD FPGA設計優化寶典:面向Vivado/SystemVerilog
- Learning Game Physics with Bullet Physics and OpenGL
- Visual Media Processing Using Matlab Beginner's Guide
- CC2530單片機技術與應用
- 筆記本電腦使用、維護與故障排除從入門到精通(第5版)
- 筆記本電腦應用技巧
- VMware Workstation:No Experience Necessary
- Python Machine Learning Blueprints
- Intel FPGA權威設計指南:基于Quartus Prime Pro 19集成開發環境
- 微服務實戰(Dubbox +Spring Boot+Docker)
- The Machine Learning Workshop