Part 1 - 使用ML.Net接入Computer Vision AI模型！

ML.NET for Beginners

价格例子

https://github.com/dotnet/machinelearning-samples/tree/main/samples/csharp/getting-started/Regression_TaxiFarePrediction

预测客户是否会购买某产品

我们需要准备训练数据。假设我们有一个CSV文件customer_data.csv，包含以下字段：

Age：客户的年龄
Income：客户的年收入
Purchased：客户是否购买了产品（0表示未购买，1表示购买）

https://www.cnblogs.com/code-daily/p/18749505

AutoML

使用 AutoML 简化自定义ML

https://dotnet.microsoft.com/zh-cn/apps/ai/ml-dotnet

https://www.cnblogs.com/kiba/p/14097006.html

Part 1 - 使用ML.Net接入Computer Vision AI模型

https://www.cnblogs.com/Big-Head/p/17429185.html

UI

https://dotnet.microsoft.com/en-us/learn/ml-dotnet/get-started-tutorial/intro

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

Building a Custom Coding Assistant in C# with Roslyn and ML.NET

https://en.ittrip.xyz/c-sharp/csharp-coding-assistant

Useful links

https://www.cnblogs.com/code-daily/p/18749505

https://github.com/topics/ml-net