Difference between artificial intelligence and machine learning: There have been many modern smart technologies and concepts, which have become a desirable and useful scientific revolution, and are still in continuous progress to create more intelligent products and the ability to communicate and understand with the outside world and make decisions. The differences, is machine learning the same as artificial intelligence, or are they two separate areas? Let’s know in detail what is the difference between artificial intelligence and machine learning.

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Difference between artificial intelligence and machine learning

What does machine learning mean?

The machine learns and becomes able to make decisions through a prior learning process, where the machine is taught using training algorithms that depend on a large set of information that helps the machine to understand, for example if we want the machine to be able to distinguish cats from dogs, we offer them a group Information that contains pictures of cats and we inform them in advance that the pictures contain cats and pictures of dogs, and we also tell them that the pictures are of dogs until they learn and distinguish well according to the different education algorithms and thus become able to distinguish between cats and dogs quickly and well. content://com.android.browser.home/

What are machine learning algorithms?

Machine learning algorithms are built according to what are called neural networks, as these networks work similar to the natural neural networks in the human body that learn by repetition, where we can present to a young child the same previous pictures of cats and dogs and he will be able to distinguish between them.

What does machine learning mean?

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What are machine learning algorithms?

And when the programmer builds a neural network, he must be concerned with the qualities that he will use in addition to the weight and importance of these characteristics in the decision calculation equations, which is the decision whether the image is a cat or a dog after the completion of the training as these characteristics and weights are what gives the algorithm its accuracy and strength Its decisions are correct and correct in higher proportions.

Most of the examples of artificial intelligence that we hear about today, from computers that play chess to self-driving cars, rely heavily on deep learning and natural language processing, and by using these technologies, computers can be trained to accomplish specific tasks by processing a large amount of data and pattern recognition. Contained in the data.

What is artificial intelligence?

If we divide the term artificial intelligence into the words “intelligence” and “artificial”, we will find that “artificial” means that it is something man-made that did not exist naturally, and “intelligence” means the ability to understand and think, in a comprehensive definition, then artificial intelligence is the study that searches In training computers to be able to perform some tasks that require the ability to think, understand and analyze.

Hollywood films and science fiction novels describe artificial intelligence (AI) as human-like robots that dominate the world, but artificial intelligence is developing to provide many benefits in every field of industry, and the current development of artificial intelligence technologies is not frightening, and allows machines to learn from experience, and to adapt to New inputs and do business like humans.

Artificial Intelligence Sections:

Intelligent automation: that is, making the machine work automatically, for example, automating frequent and large tasks to be performed by the machine instead of humans, and what is new in it is that it adapts to changing circumstances and situations to give the required work according to the inputs it gets.

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Machine learning: It is the science of adding intelligence to a machine so that it can work and make decisions according to prior learning processes, in what is known as predictive analytics, and there are several types of machine learning algorithms, so learning may be supervised by any classification of groups according to specific prior classifications or without supervision, i.e. classification of groups according to aspects Similarities and differences, and augmentation operations that do not classify data but provide feedback to the AI system may be used after performing many operations on them.

Machine vision: It is the science of allowing the computer to see and recognize the surroundings, and here it captures visual information using a camera, for example, analyzes it and makes decisions based on it and that is automatic, and one of its most important uses is seeing medical images.

Natural language processing: It is a field interested in the language that humans use, reading it and understanding its content using computer programs, and one of the most famous applications of this field is the detection of fake emails, or the ability to understand commands directed by a human to the machine, whether these commands are in written or spoken form, i.e. analysis processes Speech and feelings within it and the ability to translate texts correctly.

Robotics: It is a field that focuses on designing and manufacturing robots, which are used to carry out difficult tasks for humans or require constant repetition, as this field can be used in factories and production lines to collect car parts, for example.

Self-driving cars: use a combination of machine learning, computer vision and image recognition to build driving skills and add them to the car so that it can travel automatically and avoid obstacles and increase and decrease the speed as if it were a real driver driving it