Artificial Intelligence and Machine Learning are two very important parts of Computer Science that are connected with one another. Both of these technologies are the most famous and trending technologies which are used to create intelligent systems.
Although both of these technologies are related to each other and people sometimes use them as alternatives for each other, still, both of these technologies that we call AI and Machine Learning are very different in different cases.
On a broad level, we could distinguish both AI and Machine Learning too:
AI is an idea to create Intelligent Machines which can mimic human thinking capability and behaviour, whereas, machine learning is a program or subset of AI that enables machines to learn from information without being programmed explicitly.
Below mentioned are some main differences between AI and Machine Learning along with an overview of AI and Machine Learning.
Artificial Intelligence
Artificial intelligence is a field of computer science that creates a computer system that is capable of mimicking human intelligence. The word Artificial Intelligence consists of two phrases “Artificial” and “Intelligence”, which means “a human-made thinking power.” Hence we can define it as,
Artificial Intelligence is a technology with the help of which we can create intelligent systems that could mimic human intelligence.
The Artificial Intelligence program does not need to be pre-programmed, rather than that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as the Reinforcement Learning algorithm along with deep learning neural networks. AI is being used in various digital inventions like Siri, Google’s AlphaGo, and AI in chess games, etc.
On the basis of their working capabilities, AI can be classified into the following three categories:
- Weak AI
- General AI
- Strong AI
Currently, we are using Weak AI and General AI. The future of AI is Strong AI which will be more intelligent than humans.
Machine learning
Machine learning is all about learning from the data. It can be defined as,
“Machine learning is a branch of artificial intelligence, which enables machines to learn from past data or experiences without being programmed.”
Machine learning enables a computer system to predict something or take some decisions by using historical data without being programmed. Machine Learning uses a massive amount of structured and semi-structured data so that accurate results can be generated by it or it can predict on the basis of historical data.
Machine learning works on algorithms that have the ability to learn on their own using historical data. It works only for specific tasks such as if we create a machine learning model to detect pictures of cats, it will only give us results for cat images, but if we provide new data like dog image then it will become unresponsive. Machine learning is being used in various platforms such as for online recommendation systems, Google search algorithms, Email spam filter, Face book Auto friend tagging suggestion, etc.
It can be divided into three types:
- Supervised learning
- Reinforcement learning
- Unsupervised learning
Key differences between AI and Machine learning:
| Artificial Intelligence | Machine Learning |
| Artificial Intelligence is a technology that enables machine learning to mimic human behaviour. | Machine learning is a part of AI that allows a machine to automatically learn from past data without programming. |
| An AI’s goal is to develop a smart computer system like a human being to solve complex problems. | The goal of ML is to allow machines to learn from data provided to them to give an accurate outcome. |
| In AI, intelligent systems are developed to perform any task like humans or even better. | In ML, We teach machines by providing them with the data to perform any particular task and give an accurate outcome. |
| Machine Learning and deep learning are the two main branches of AI | Deep Learning is the main branch of ML |
| AI is developing intelligent computer systems which are capable of solving multiple complex problems in a better way than human beings. | MI is creating machines that can perform specific tasks for which they are trained. |
| AI is all about learning, reasoning and self-correction. | It includes self-learning when a new set of data is given to it. |
