How Artificial Intelligence is related to Machine Learning?

New technologies are preparing for an easy and smart living in a world that is continuously changing. The increasing capabilities of humans are being greatly impacted by artificial intelligence. Over the past few years, terms like AI (Artificial Intelligence), Machine Learning, data science, and deep learning may have appeared frequently in conversation.

What is Artificial Intelligence?

Artificial Intelligence is a science and technology based on disciplines that use many techniques to solve a problem, such as computer science, biology, and engineering. The development of computer abilities akin to human intellect, such as thinking, learning, and problem-solving, is a key focus of artificial intelligence.

What is Machine Learning?

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. An algorithm is a set of steps to solve a particular problem.

Several Machine Learning Models?

Big Data + Algorithm = Model

A machine learning model is a function that develops the tasks it performs by filtering through vast amounts of data. As it is exposed to new data, the trained model can then be deployed and used.

There are many real world problem for which traditional technologies are not enough. Machine Learning is a powerful phenomenon to solve such kind of problems.

What is the main Difference in AI and ML?

Basically, Machine Learning is a sub category of artificial Intelligence. It is a subset of AI. ML depends on an AI how to carry out a task on its own or how to get better at managing the data that is provided. AI is the superset of ML.

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sub fields of artificial intelligence

Aim :- AI is to increase the chance of success while ML aims to increase accuracy.

  • The goal of AI is to create an intelligent machine that can handle a variety of challenging tasks. ML is to create machines that can only perform the tasks for which they have been programmed.
  • AI does smart work by working as a computer program. In machine learning system takes data and try to learn from the data.
  • AI simulates natural intelligence to solve complex problems. ML maximize the performance on any specific task.
  • ML has a limited scope while AI has a vast number of applications. ML leads to knowledge while AI leads to intelligence or wisdom.