What Is The Difference Between Artificial Intelligence And Machine Learning?
which one is more comprehensive?
imagine that artificial intelligence is a big circle. machine learning is a sub-circle of the main big one
Dear,
Azedine
In Artificial Intelligence, nature phenomena will be adopted to an algorithm for problem solving. For example Ant Colony concept, Particle Swarm, Genetic Algorithm, and etc. All of them are conducted for optimization problem. In other word, how computer can work like natural situation. Meanwhile , Machine learning (ML) is function approximation. If we have the more data x, and function f(x), how we can understand the pattern of data (x) and/or can predict the function f(x) base on the data. Neural network (NN) is one of the ML that apply AI concept. However, some ML are not apply AI concept. Overall, there are three type of ML supervised learning, unsupervised learning and semi supervised learning.
Regards,
Toto
Dear,
Akif
In Artificial Intelligence, nature phenomena will be adopted to an algorithm for problem solving. For example Ant Colony concept, Particle Swarm, Genetic Algorithm, and etc. All of them are conducted for optimization problem. In other word, how computer can work like natural situation. Meanwhile , Machine learning (ML) is function approximation. If we have the more data x, and function f(x), how we can understand the pattern of data (x) and/or can predict the function f(x) base on the data. Neural network (NN) is one of the ML that apply AI concept. However, some ML are not apply AI concept. Overall, there are three type of ML supervised learning, unsupervised learning and semi supervised learning.
Regards,
Toto
Following link provides a comprehensive comparisons between
Artificial Intelligence vs. Machine Learning vs. Deep Learning
https://dzone.com/articles/the-differences-between-ai-and-ml
AI is a general term to simulate human intelligence in any term. There're several ways to do this, machine learning is one of the ways to achieve this goal. This is to give certain algorithm some data that can represent experience, so that this algorithm will finally find a model, that can be used for intelligent tasks.
Dear Akif,
AI is the wider concept as compared to ML. It gives the idea to use computers to mimic the human brains. The Intelligent learning of machine using any algorithm is called AI. ML is part of AI. AI gives data to machine to learn themselves and process the information.
Thanks,
AI and machine learning are often used interchangeably, especially in the realm of big data. But these aren’t the same thing, and it is important to understand how these can be applied differently.
Artificial intelligence is a broader concept than machine learning, which addresses the use of computers to mimic the cognitive functions of humans. When machines carry out tasks based on algorithms in an “intelligent” manner, that is AI. Machine learning is a subset of AI and focuses on the ability of machines to receive a set of data and learn for themselves, changing algorithms as they learn more about the information they are processing.
AI: is how to construct a reason (with inference mechanism)
ML: is how to build a set of examples to make rules in the knowledge base.
Artificial intelligence is a branch of computer science dealing with the simulation of intelligent behavior in computers, the capability of a machine or program to imitate intelligent human behavior. It works by applying past experience to analogous new situations. Robotics is also a major field related to AI
Machine learning is another core part of AI. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions. Classification determines the category an object belongs to and regression deals with obtaining a set of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs.
Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world,
- Badges
- Science topic