- Hands-On Machine Learning with ML.NET
- Jarred Capellman
- 69字
- 2021-06-24 16:43:30
Summary
Over the course of this chapter, we have set up our development environment and learned about the proper organization of files going forward. We also created our first ML.NET application in addition to training, evaluating, and running predictions against a new model. Lastly, we explored how to evaluate a model and what the various properties mean.
In the next chapter, we will deep dive into logistic regression algorithms.
推薦閱讀
- DevOps:軟件架構師行動指南
- DB2 V9權威指南
- Learning Python Web Penetration Testing
- Responsive Web Design with HTML5 and CSS3
- NumPy Essentials
- Java系統化項目開發教程
- MongoDB,Express,Angular,and Node.js Fundamentals
- Python自然語言理解:自然語言理解系統開發與應用實戰
- 物聯網系統架構設計與邊緣計算(原書第2版)
- Mastering VMware Horizon 7(Second Edition)
- 多媒體技術及應用
- Drupal 8 Development Cookbook(Second Edition)
- Sitecore Cookbook for Developers
- SCRATCH編程課:我的游戲我做主
- Learning Redux