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Python is one of the best programming languages for machine learning, quickly coming to rival R's dominance in academia and research. But why is...

Ensemble learning explained There are many instances when a single machine learning model simply isn't good enough - you need to use multiple models. Here...

This session of FAT 2018 is about Recommenders, etc. Recommender systems are algorithmic tools for identifying items of interest to users. They are usually...

Machine learning has emerged with a vast new ecosystem of techniques and infrastructure and we are just beginning to learn their full capabilities. But...

As algorithms are increasingly used to make decisions of social consequence, the social values encoded in these decision-making procedures are the subject of increasing...

This session of the FAT* 2018 is about interpretability and explainability in machine learning models. With the advances in Deep learning, machine learning models...

This is a guest post by Jason De Oliveira, the author of Learning ASP.NET Core 2.0. ASP.NET Core is a new cross-platform open-source framework for...

The choice of tech stack for a project, team or organisation is an ongoing struggle between competing forces. Each of the players has their...

The nineties: the large software vendors dominate When I started my first tech publisher, Wrox, back in 1994, tech was dominated by a few large IT...

This is an extract from the third edition of C# 7.1 and .NET Core 2.0 - Modern Cross-Platform Development by Mark Price.  Understanding the .NET framework Microsoft's...