Difference between Machine Learning, Artificial Intelligence and Deep Learning

These three terminologies are often used interchangeably but they are not referred to the same things. Practitioners of these fields make it vivid the differences between them. These three techniques are applied in practice according to the requirements of the business or companies.

Difference between Machine Learning, Artificial Intelligence, and Deep Learning

Difference between Machine Learning, Artificial Intelligence and Deep Learning

What is Artificial Intelligence?

Artificial intelligence is referred to as the system which works like the human mind. It can function as the mind of a human. It means that artificial intelligence thinks works and performs functions like the human mind.

The reality is that the technology of artificial intelligence almost able to work as a human mind but still it is not working exactly like the mind of the human. It has established its functions very close to the mind. The complex behavior and tasks can be worked efficiently and effectively as the brain of humans are possible only through the use of artificial intelligence techniques.

These are the machines that work like the human mind. Speech recognition, problem-solving, learning and planning are examples of artificial intelligence.

What is Machine Learning?

Machine Learning is a subset of artificial learning. This technology or technique is to enable the machines that it learns from data and then apply that in practical work. The main function of machine learning is empowering computer systems with the ability of learning.

Machine learning is the method of an algorithm that enables the system on how to make decisions or predict from the provided data. Many incorporate or business companies are using the technique of machine learning to provide better systems to their users for having great experiences.

For example, Amazon is using this technique to give its users better products. Netflix is also another example of machine learning. In the practice of using an algorithm, machine learning is the most basic approach for this purpose.

What is Deep Learning?

Deep learning is a subset of machine learning. Its major purpose is to solve more complex problems. It is relying on the layers of artificial neural networks. Deep learning functions like machine learning but it has different capabilities. A good example of deep learning is an automatic car driving system.

Deep learning can work by or learn by its word of computing. Deep learning is a technique for the practical implementation of machine learning. It is another approach of the algorithm from early machine learning.

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Artificial intelligence vs Machine Learning vs Deep Learning

Artificial intelligence, machine learning, and deep learning are the techniques of computing. These three terminologies are distinguished from each other by their applications. These are often used interchangeably but they vary in terms of their approach, algorithms and logical thinking.

These terms are dominant in the market of technology but used in different incorporates according to the business requirements or needs. Artificial intelligence is a comprehensive technique that involves the other two technologies. These are chains as deep learning is the subset of machine learning and machine learning is the subset of artificial intelligence.

Artificial intelligence can be achieved by using ways of machine learning and deep learning. Artificial intelligence is the broader concept of than other two terminologies.

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