Building Machine-Learning Models with ML.NET

Scikit-learn is arguably the world’s most popular machine-learning framework. The efficacy of the library, the documentation that accompanies it, and the mindshare that surrounds it are the primary reasons more ML models are written in Python than any other language.

Operationalizing Machine-Learning Models

All of the machine-learning models presented so far in this series were written in Python. Models don’t have to be written in Python, but many are, thanks in part to […]

Multiclass Classification

The three previous posts in this series introduced binary classification and provided working examples of its use, including sentiment analysis and spam filtering. Now it’s time to tackle multiclass classification, […]

Supervised Learning with k-Nearest Neighbors

Most machine-learning models fall into one of two categories. Supervised-learning models make predictions. For example, they predict whether a credit-card transaction is fraudulent or a flight will arrive on time. […]

Machine Learning and AI for Software Developers

Machine learning (ML) and artificial intelligence (AI) are transforming the way software is written and, more importantly, what software is capable of. Developers are accustomed to writing code that solves […]

Asynchronous Controllers in ASP.NET MVC 2

I’ve been working with version 2 of Microsoft’s ASP.NET MVC framework and have found a lot to like about it, particularly the new support for client-side validation based on data […]

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I finished the draft of the ASP.NET 2.0 provider toolkit today. There’s some good information in it, even if I do so say myself. It’ll go through a review cycle […]