June 2020
Beginner to intermediate
2h 47m
English
Closed Captioning available in English
Overview
In this 2 hr course, you'll learn how to use ML.NET to integrate machine learning into your .NET applications with ease. Explore techniques for training and retraining models, leveraging pre-trained TensorFlow models, and solving common business problems using advanced algorithms.
What I will be able to do after this course
- Implement machine learning models in .NET applications efficiently.
- Explore AutoML and Model Builder tools for rapid model training.
- Use TensorFlow and ONNX pre-trained models for advanced solutions.
- Master data preprocessing techniques for training ML models.
- Understand practical applications such as price prediction and image classification.
Course Instructor(s)
Karl Tillström is an experienced software developer and educator with a strong background in .NET and machine learning. He has spent years teaching developers how to leverage ML.NET to build practical applications. His approachable teaching style focuses on hands-on learning and real-world application.
Who is it for?
This course is ideal for .NET developers looking to incorporate machine learning into their applications. If you have a basic understanding of C# and .NET, this course does not require prior machine learning knowledge. It's also suited for data scientists aiming to utilize ML.NET in their work.
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