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Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

In recent years, machine learning ... algorithm based on the type of problem it will solve, the available data and the desired outcome. For example, for one of our recent projects, we used ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms ... usually after a normalization step applied to the initial data. There are a number of very ...

They published their new study in the journal Machine Learning: Science and Technology ... For instance, in materials science, researchers could use this algorithm to simultaneously explore ...

As a result, advanced devices like self-driving cars and aircraft often rely on machine learning-based controllers, which use intricate networks to learn the optimal control algorithm needed to ...

However, machine learning can be used to automate this process by training algorithms to identify defects from images or other data sources. This can help reduce the cost of quality control while ...