Difference Between Artificial Intelligence and Machine Learning

Difference between Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning are the technologies that vary from each other according to its applications. Both are dominant terms in the technology world. Both terms are often used interchangeably but they vary in terms of their approach, algorithms and logical thinking.

What is Artificial Intelligence?

The name indicates that the machine which works effectively and efficiently by feeding some unique features in it. It works intelligently like the mind of human behavior. It is the form of computer which operates like the mind of the human.

It detects feels and interprets the things in an intelligent way like the human mind. It is a machine that enables a machine to work like human behavior or mind.

Machine Learning and Artificial Intelligence

There is a large scope of artificial intelligence in the market-technology world. It is expected that the demand of artificial intelligence in the market will rise up to $5.05 billion dollars in the industry. Artificial intelligence means the ability to think artificially.

These machines are based on an algorithm in an intelligent manner. It is that area of computer which emphasizes working and reacts likes humans by creating intelligent machines. Learning, reasoning and self-correction are included in the process of artificial learning.

The main purpose of artificial learning is to make a machine that can solve complex problems in an efficient or effective way like a human. Its goal is to enhance the chances of success not accuracy in future.

What is Machine Learning?

Machine learning is the application or subset of artificial intelligence. It allows the machine to learn from the past and correct them automatically. It is the current machine to which we allow them to get access to data and let them learn from themselves.

Machines are able to learn by their own without being programmed. These machines can modify themselves by their own based on real-time data.

Machine learning has the ability to think and perform different functions by seeing its past experience. Under which they are operating, they can change their algorithm. Its major focus is on the accuracy instead success. Machine learning extracts knowledge from data.

It is the massive amount of structured and semi-structured data. Machine learning is also used for online recommender system, Google search algorithms, Email spam etc.

Artificial Intelligence VS Machine Learning

Mostly people make this confusion that artificial intelligence is the system while it is not the system it can be implemented within the system to operate on computer programs effectively. In machine learning, the system can learn from data sets.

Its goal is to learn from data and to maximize the performance of the machine on different tasks. The artificial intelligence is used primarily in decision making while in machine learning, it learns from past or previous experiences.

Artificial intelligence develops a system to which it responds and behaves to different circumstances but machine learning helps in creating self-learning algorithms. Optimal solutions are found in artificial intelligence while in machine learning will go after the solutions. Artificial intelligence leads to intelligence or wisdom while machine learning leads to knowledge.

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