Hands-On Machine Learning for .NET Developers

Use machine learning today without a machine learning background

Created by: Packt Publishing
Tech Knowledge in Motion

What Will I Learn?

• Quickly implement machine learning algorithms directly within your current cross-platform .Net applications, such as ASP .Net Web .APIs, desktop applications, and Dotnet core console apps
• Use the advances in machine learning with models customized to your needs
• Automatically evaluate different machine learning models fast using AutoML, Model Builder, and CLI tools
• Improve and retrain your models for better performance and accuracy
• Basic overview of machine learning through a hands-on approach
• Use different machine learning algorithms to solve problems such as sentiment prediction, document classification, image recognition, product recommender systems, price predictions, and Bitcoin price forecasting
• Data loading and preparation for model training
• Leverage state of the art TensorFlow and ONNX models directly in .NET

Requirements

• Prior knowledge (and a basic understanding) of C# and .Net are necessary. However, prior machine learning knowledge or learning Python are not required.

Target audience

• This course is for .NET developers who want to implement custom machine learning models using ML .NET and ML developers who are looking for effective tools to implement various machine learning algorithms. This course is also suitable for data scientists who want to implement machine learning in .Net.