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Object Detection with ML.NET | Computer Vision | Object Detection Explained How to label & annotate images for object detection ...

This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer ...

Should .NET developers learn Machine Learning fundamentals or jump directly into GenAI? In industry training, this is not a trend ...

Multiclass classification in ML.NET looks simple—until it fails in production. Many .NET developers successfully build binary ...

ML.NET Classification Explained | Types of Classification & Binary Industry Use Cases In this first session of the ML.NET ...

Welcome to the episode 05 of "Machine Learning in C# with ML.NET: A Practical Guide"! In this episode, I introduce feature ...

https://podcast.betatalks.nl/ In this episode of Betatalks the Podcast, Rick and Oscar talk with Anjuli Jhakry, a .NET MAUI ...

Most machine learning models fail not because of algorithms — but because engineers misread evaluation metrics. In this video, I ...

In this video, we will learn Binary Classification using SDCA Logistic Regression in ML.NET step by step. This tutorial is specially ...

In this video, you'll learn Regression in ML.NET by exploring all major regression trainers available in the ML.NET framework ...

In this video, you'll learn how to consume a trained ML.NET model inside an ASP.NET Web API using C#. This is a real-world step ...

Welcome to the episode 06 of "Machine Learning in C# with ML.NET: A Practical Guide"! In this episode, I experiment with Linear ...

Most ML.NET binary classification models fail not because of bad algorithms, but because developers measure them using the ...

How to install ML.NET Model Builder in Visual Studio 2026 | step-by-step guide Video Description In this video, you'll learn how ...

Multiclass classification sounds simple — until you build one. In this practical ML.NET video, we: Train a real multiclass model ...

Industrial operations generate massive amounts of data — but how do you turn that data into actionable intelligence?

Cross-validation is a foundational concept in machine learning, yet it is frequently misunderstood and misused in real-world ...

corrections: 23:23 - Forgot to change a cols to a rows in for loop 1:35:10 - You should also check if cur does not require gradient ...

Topics covered: - What is Supervised Machine Learning - Labeled training data - Model training in ML.NET - Prediction flow - How ...