stream:// data science

IoT devices like the Apple Watch present an interesting opportunity for data analysis and visualization. Data Analyst Raul Eulogio looks at a year's worth of calories burned to identify trends in an Apple Watch user's activity.

The Global AI Night is a free evening event organized by local communities all over the world that are passionate about Artificial Intelligence on the Micros...

Can AI help brewers predict how new beer varieties will taste? Carlsberg says “probably” | Transform Skip to content This site uses cookies for analytics, personalized content and ads. By co

Unsupervised learning promises much more intelligent AI than what is available today.

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Microsoft Research is unveiling its latest AI initiative, one that aims to help 'democratize AI' with a new open-source framework that will leverage blockchain technology.

Researchers’ at Microsoft’s Bing organisation have open sourced a brace of recipes for pre-training and fine-tuning BERT, the NLP model which Google itself open sourced just last November. Google describes BERT as “the first deeply bidirectional, unsupervised language representation, pre-trained only using a plain text corpus” – the corpus in question being Wikipedia. Wikipedia’s collective …

We are excited to announce ML.NET 1.2 and updates to Model Builder and the CLI. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. ML.NET also includes Model Builder (a simple UI tool for Visual Studio) and the ML.NET CLI (Command-line interface) to make it super easy to build custom Machine Learning (ML) models using Automated Machine Learning (AutoML).

Machine Learning - Create a Machine Learning Prediction System Using AutoML This site uses cookies for analytics, personalized conte

ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. ML.NET offers Model Builder Model Builder (a simple UI tool for Visual Studio) and CLI to make it super easy to build custom ML Models using AutoML.