To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

ML Integrity is the core criterion that a machine learning (or deep learning, reinforcement learning etc.) algorithm must demonstrate in practice and production to drive trust. Four pillars of ML ...

Data: Usually, ML teams simply label all the data they have available to train their model — which not only takes time and resources to label well, but also requires more complicated labeling ...

In recent years, the ML field has been dominated by what is called the backpropagation algorithm, or backprop, which, Çamsari said, “is basically driving everything right now, but in my lab, we use ...

Much like an ML algorithm, we train our brain to make decisions based on the input we give it and our emotional reaction to it. While ML algorithms do not have an emotional component, ...

Carson Holgate is training to become a ninja.. Not in the martial arts — she’s already done that. Holgate, 26, holds a second degree black belt in Tae Kwon Do. This time it’s algorithmic.