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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 ...

No matter what algorithm or algorithms you use, you’ll first need ... to normalize and standardize data for machine learning, including min-max normalization, mean normalization, standardization ...

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 ...

Google uses a plethora of machine learning algorithms. There is literally no way you, me, or likely any Google engineer could know them all. On top of that, many are simply unsung heroes of search ...

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 ...

Another area where machine learning is making significant strides ... Transportation is yet another sector where ML is making an impact. Algorithms used in apps like Google Maps and Uber are ...

Machine learning ... an algorithm data from the past that tunes it to operate on future, unseen data. But in several papers, researchers failed to properly separate the pools of data used to ...