Canonical/Ubuntu: KDE, Machine Learning, and Promotion of Microsoft's Proprietary Traps
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The long ARM of KDE | Ubuntu
With over 100 applications available in the Snap Store, KDE is by far the biggest publisher of snaps around. What unifies this impressive portfolio is the fact that all of these snaps are made for the x86 platform. Not anymore. Now, don’t panic! The x86 snaps are not going anywhere. But ARM-supported KDE snaps are on the way, and this article will tell you a bit more about this endeavor.
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Here, the KDE team has adopted a rather interesting hybrid approach to making their snaps work on ARM. One option to build snaps for a target architecture is to do that locally. Not an issue with Intel-based hardware. With ARM devices, this is trickier, because quite often, it is not easy to source (for both logistical and practical reasons) ARM devices that are powerful enough to support a fast build pipeline. An alternative solution is to use the snap remote build capability, which allows any snap developer to send remote build jobs to Launchpad via the snapcraft command line, and build applications for six target platforms.
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Hyperparameter tuning for ML models | Ubuntu
To create a machine learning model, you need to design and optimise the model’s architecture. This involves performing hyperparameter tuning, to enable developers to maximise the performance of their work. How do hyperparameters differ from model parameters?
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Introducing a VSCode extension for Vanilla CSS Framework [Ed: Instead of promoting Free software Canonical is shilling Microsoft's proprietary software that lets Microsoft spy on users]