Artificial Intelligence, Machine Learning, and Deep Learning: What’s the Difference?
Artificial Intelligence: Making the Computer systems to think and take decisions like human beings to perform specified or required tasks.
Theories & development of computers systems that can make decisions, realize vision, recognize speech, and translate between languages, tasks normally associated with human intelligence.
Machine Learning: A computer system that uses algorithms & statistical models to analyze data patterns and draw inferences from them, learning and adapting without following explicit instructions.
Deep Learning: The extraction of more sophisticated features from data is accomplished by using artificial neural networks that consists of multiple layers of processing.
The impending AI revolution will be unprecedented in human history. On the one hand, it will improve AI’s and possibly humanity’s performance. On the other hand, because of the increased responsibility for AI that would fall to human intelligence, it will most likely make life more difficult for everyone.
Traditional AI decisions will be replaced by a new, radical, philosophy-like concept: AI will be managed by machines, and people will be managed by machines.
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