Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ?
Brandon McGee
“Artificial Intelligence focuses on performing 3 cognitive skills just like a human – learning, reasoning, and self-correction.
Artificial Narrow Intelligence – systems are designed and trained to complete one specific task and are often termed as Weak AI / Narrow AI.
Artificial General Intelligence is when the AI systems/machines would perform on par with another human. This also means the ability of the machine to interpret and understand human tone and emotions and act accordingly. This is also called Strong AI
Artificial Super Intelligence/Super AI is when an Artificial Intelligent machine would become self-aware and surpass human’s intelligence and ability.
Machine Learning is naturally a subset of AI. It provides the statistical methods and algorithms and enables the machines/computers to learn automatically from their previous experiences and data and allows the program to change its behavior accordingly.
Deep Learning can be thought of as the evolution of Machine Learning which takes inspiration from the functioning of the human brain. Deep Learning is used to solve complex problems where the data is huge, diverse, less structured. Deep learning models are built on top of Artificial Neural Networks, which mimic how the human brain works.”
