The below is a classification example with Titanic dataset. Able to reach 75% accuracy within 10 epoch.

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Explore advanced computer vision models to enhance object detection and image recognition capabilities. Adopt YOLO models for real-time object detection, prioritizing speed and accuracy in ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

InfoWorld’s 2023 Bossie Awards recognize the year’s leading open source tools for software development, data management, analytics, AI, and machine learning. When the leaves fall, the sky turns gray, ...

Image classification is a Computer Vision task which falls into the category of Supervised Learning . We train a model to label an input image with one of the prescribed target classes based on the al ...