Artificial Intelligence

Similar to field of machine learning transfer learning is method which allows machines to use previously learned knowledge for new task.

Reinforcement learning (RL) is an area of machine learning which allows AI based systems to make decisions in constantly changing context using trial and error in order to increase rewards shared by all in response to feedback by individual actions.

Recommendation systems also referred to by name of recommender systems are an instance of filtering and information system which attempts to anticipate what “rating” or “preference”.

Cognitive computing is one of the branches that is part of the artificial intelligence (AI) with the aim to develop systems that are capable of replicating human like cognitive processes.

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Neural Architecture Search (NAS) is an innovative technology in computer aided machine learning (AutoML) that aims to streamline creation of neural networks.

Although there is lot of explanationability research precise definitions for the concept of explainable AI have not been formulated yet. In this blog the term “explainable”