While machine learning is based on the idea that machines should be able to learn and adapt through experience, Artificial Intelligence AI refers to a broader idea where machines can execute tasks “smartly.” Artificial Intelligence applies machine learning, deep learning and other techniques to solve actual problems
Artificial intelligence (AI) and machine learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.
Artificial Intelligence (AI) and Machine Learning (ML)
Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are the two different terms in various cases.
On a broad level, we can differentiate both Artificial Intelligence (AI) and Machine Learning (ML) as:
AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.
Below are some main differences between AI and machine learning along with the overview of Artificial intelligence and machine learning.
|Artificial Intelligence (AI)||Machine Learning (ML)|
|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.|
|AI has a very wide range of scope.||Machine learning has a limited scope.|
|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|