Why AI is not equal to ML?
Artificial Intelligence (AI) and Machine Learning (ML) seem to be used interchangeably. They are both not the same since there is a major difference. The basic concept of AI is that there is no one else to make a decision but itself. But on the other hand of Machine Learning is that it collects data and learns from what is collected and return with a basic goal set to perform its maximum at the task given to it. So, ML by itself gives us a definition that the machine learns.
To be more Precise:
AI is a technology-enabled through the internet of things that replicates an artificial creation of a human-like Intelligence. AI can have the ability to learn, reason, plan or also has the possibility to process a natural language that gives it a simple Punch Line “Smart” that explains it all.
Machine Learning is a concept where it requires access so they could learn by themselves and apply concepts based on what tasks are given to be accomplished and fulfilled.
Machine learning does have a lot to offer. With its promise of automating different tasks as well as offering creative insight, industries in every sector from banking to healthcare and manufacturing are reaping the benefits.
So, it’s important to bear in mind that AI and ML are something else … they are products that are being sold – consistently in today’s world of Technology.
A difference between the two is “AI is it’s the one and only decision-maker and Machine learning provide access to its system which enables it to learn new emerging things and help develop and respond in a way to mimic a human behave in certain circumstances.
In classic terms, machine learning is a type of artificial intelligence that enables self-learning from data and then applies that learning without the need for human intervention. In actuality, there are many different types of machine learning, as well as many strategies of how to best employ them and AI is a technology solution that helps the enterprise get more done with fewer resources by automating mundane, data-heavy tasks. AI is a computerized simulation of human intelligence that can be programmed to make decisions, carry out specific tasks, and learn from the results.
Artificial Intelligence (AI) is all about being a replica of a Human that is programmed to think and mimic human actions be it learning or Problem Solving. Machine Learning (ML) are systems that are used to perform a specific task at a given time without using any direct instructions since they depend on the patterns set and inference instead.
AI For example in a layman’s language would be as simple as our smart devices that consist of a Voice Assistant system, when asked a Question we get a human-like response. Hence receiving those answers from smart devices is what is Artificial intelligence.
Machine learning is a branch of AI, with the difference where they work and learn on their own and suit themselves to changes in the system accordingly. Machine learning is a subset of artificial intelligence, that refers to technologies that try to learn data and develop solutions. Machine learning is something that makes a system “artificially intelligent.”
AI is basically the intelligence, whereas machine learning is the realization of a technical specification of different tasks given and acts accordingly. Hence showing us that both aren’t the Same nor Equal.
Coming to a Conclusion that Machine Learning refers to the design or study of algorithms that reconfigure their own settings or parameters in order to improve their performance on tasks. Artificial intelligence refers to the design or facilitation of intelligence, as exemplified by humans. This includes setting goals, reasoning, gathering knowledge, planning, learning from counter examples and much more.