Artificial intelligence can be categorized into 3 different kinds of system. These are analytical, human-inspired and humanized artificial intelligence.
It features characteristics consistent with cognitive intelligence by generating a cognitive representation of the world and then uses a learning strategy based on past experiences to inform future decisions.
It has elements from both cognitive and emotional intelligence. It understands human emotions. along with the cognitive elements and utilizes them in their decision making.
It displays the characteristics of all types of competencies (like cognitive, emotional and social intelligence). It also possesses the ability to be self-conscious and is self-aware in its interactions with others.
Here you’ll learn the differences between supervised, unsupervised and reinforcement learning; become familiar with use cases and also learn how clustering and classification algorithms assist in identifying AI business applications.
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