Key differences between Artificial Intelligence (AI) and Machine learning (ML):
Artificial Intelligence | Machine learning |
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Artificial intelligence is a technology which enables a machine to simulate human behavior. | Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. |
The goal of AI is to make a smart computer system like humans to solve complex problems. | The goal of ML is to allow machines to learn from data so that they can give accurate output. |
In AI, we make intelligent systems to perform any task like a human. | In ML, we teach machines with data to perform a particular task and give an accurate result. |
Machine learning and deep learning are the two main subsets of AI. | Deep learning is a main subset of machine learning. |
AI has a very wide range of scope. | Machine learning has a limited scope. |
AI is working to create an intelligent system which can perform various complex tasks. | Machine learning is working to create machines that can perform only those specific tasks for which they are trained. |
AI system is concerned about maximizing the chances of success. | Machine learning is mainly concerned about accuracy and patterns. |
The main applications of AI are Siri, customer support using catboats , Expert System, Online game playing, intelligent humanoid robot, etc. | The main applications of machine learning are Online recommender system , Google search algorithms , Facebook auto friend tagging suggestions , etc. |
On the basis of capabilities, AI can be divided into three types, which are, Weak AI , General AI , and Strong AI . | Machine learning can also be divided into mainly three types that are Supervised learning , Unsupervised learning , and Reinforcement learning . |
It includes learning, reasoning, and self-correction. | It includes learning and self-correction when introduced with new data. |
AI completely deals with Structured, semi-structured, and unstructured data. | Machine learning deals with Structured and semi-structured data. |