The Difference between Artificial Intelligence, Machine Learning, and Deep Learning

The Difference between Artificial Intelligence, Machine Learning, and Deep Learning

It’s easy for the terms AI, Machine Learning, and Deep Learning to get mixed up. But in this article, you’ll learn exactly what the differences are between them! The three categories of AI are artificial intelligence, machine learning, and deep learning.

The distinction between these terms can be slightly confusing for some people, but it is important to understand the distinctions in order to use them properly.


Artificial Intelligence (AI)

Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems. It can be classified into two categories: good AI and bad AI.

Machine Learning is the development of computer programs that can learn from data without being explicitly programmed, instead of developing algorithms to improve their performance with each subsequent use. Deep Learning is a subset of machine learning that uses neural networks, modeled after the human brain, in order to learn more quickly.


Machine Learning

Machine learning is the process of computer systems refining their knowledge by analysing data. For example, they can learn to rank search results by examining what people clicked on in the past. Basically, machines will get “smarter” as they accumulate more and more information about a particular subject.

Deep Learning is a subset of machine learning that uses artificial neural networks to solve complex problems. This subset has been revolutionizing industries such as image recognition where it outperforms human accuracy.

Unlike artificial intelligence, machine learning requires human input. The data is fed into the computer and the computer will make predictions based on the data. With deep learning, there is no need for human input because it can figure out what you want by looking at what you do.


Deep Learning

Deep Learning is the most complex of the three. This type of AI makes use of neural networks, which are systems that can learn from their mistakes. These networks work by remembering many examples and then remembering patterns in what they see. Deep learning is a subset of machine learning and artificial intelligence.

Deep learning can be described as a type of AI that learns from large amounts of data. This deep learning allows computers to complete tasks with little to no human intervention. It also helps machines learn for themselves without being programmed specifically for a certain job.



So, why the heck is it so hard to figure out what AI is? Well, I think that’s a good question. The thing with AI is that it’s always evolving, and it’s hard for people to keep up with all of the changes. Machine learning is the use of an algorithm to uncover patterns in data.

This process can involve taking in all available examples and then looking for correlations to predict the next event. Deep learning is a type of machine learning that focuses on inputting data with high dimensionalities, like pictures or sound. Artificial intelligence, on the other hand, refers to an application that solves problems in ways similar to how humans do them.

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