5 differences between Artificial Intelligence Vs Machine Learning

 

5 Differences between Artificial Intelligence Vs Machine Learning

Artificial Intelligence and Machine Learning are the part of computer science that are correlated with each other but still, both are two different terms in various cases. These two technologies are the most trending technologies which are used for creating intelligent systems. Before discussing the major differences between AI and Ml, let us first understand each of them individually in brief.

What is Artificial Intelligence?

Artificial Intelligence is the field of computer science that is associated with the concept of machines "thinking like humans" to perform tasks such as learning, problem-solving, planning, reasoning, and identifying patterns. Also, AI is a technology using which we can create intelligent systems that can simulate human intelligence. Artificial Intelligence doesn't require to be pre-programmed, it uses such algorithms which can work with their own intelligence. Thus, AI is a type of intelligence that allows one to add all the human capabilities into the machines.

AI can be classified into three types :

• Weak AI
• General AI
• Strong AI

Currently, we working on weak AI and general AI. Strong AI will be used in the future which can be more intelligent than humans.

What is Machine Learning?

Machine Learning is a subfield of Artificial Intelligence, which allows machines to learn from their past data or experiences and enables a computer system to make predictions or to take action without being explicitly programmed. Machine Learning uses a huge amount of structured and semi-structured data so that a MI learning model can generate accurate predictions or results based on data. Machine Learning is an application of Artificial Intelligence and it provides any system with the ability to improve on its own by learning automatically.

Machine Learning can be classified into three types:

• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning

5 Key Differences between Artificial Intelligence and Machine Learning

Artificial Intelligence	Machine Learning
Artificial Intelligence is a technology that enables a machine to simulate human behavior.	Machine Learning is a subset of AI which allows the machine to automatically learn from past data without programming explicitly.
The goal of AI is to make smart computer systems like humans to solve complex problems.	The goal of ML is to allow machines to learn from data so that they can give accurate results.
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 generate accurate results.
Machine Learning and Deep Learning are the two main subsets of Artificial Intelligence.	Deep learning is the main subset of Machine Learning.
The main applications for AI are Siri, Customer support using chatbots, Expert systems, Online game playing, an Intelligent humanoid robot, etc.	The main applications for ML are an Online recommendation system, Google search algorithms, Facebook auto friend tagging suggestions, etc.

Conclusion

There is a lot of overlap between Artificial Intelligence and Machine Learning, but they are not precisely the same. AI covers a much broader range of topics, while Machine Learning focuses on teaching machines how to behave or perform tasks. In the end, I just want to mention that both of these technologies have a great future ahead and there is a lot of improvement work for both. Overall, it will be interesting to see how AI and Machine Learning continue to shape our world in the upcoming years.