- Mastering .NET Machine Learning
- Jamie Dixon
- 98字
- 2021-07-09 20:16:38
Summary
We covered a lot of ground in this chapter. We discussed what machine learning is, why you want to learn about it in the .NET stack, how to get up and running using F#, and had a brief introduction to the major open source libraries that we will be using in this book. With all this preparation out of the way, we are ready to start exploring machine learning.
In the next chapter, we will apply our newly found F# skills to create a simple linear regression to see if we can help AdventureWorks improve their sales.
推薦閱讀
- 演進式架構(原書第2版)
- 基于粒計算模型的圖像處理
- 算法訓練營:入門篇(全彩版)
- Python從菜鳥到高手(第2版)
- UI智能化與前端智能化:工程技術、實現方法與編程思想
- Full-Stack Vue.js 2 and Laravel 5
- Apex Design Patterns
- Unity 2017 Mobile Game Development
- Mastering Web Application Development with AngularJS
- Processing創意編程指南
- QPanda量子計算編程
- 微前端設計與實現
- Tableau Dashboard Cookbook
- 實驗編程:PsychoPy從入門到精通
- 嵌入式C編程實戰