What is Artificial Intelligence

What is Artificial Intelligence

What is Artificial Intelligence

What is Artificial Intelligence

Artificial intelligence for people in a hurry The easiest way to think about artificial intelligence for people in a hurry The easiest way to think about artificial intelligence is in the context of man after

all people are the most intelligent animals that we know of artificial intelligence is a large part of software engineering and the goal of artificial intelligence is to make frameworks that can work with intelligence and autonomy People can speak and take it through language. This is the field of recognition of a good speech. It is largely based on the recognition of speech. Thus it is called people learning realism. It can compose and view a message in a language.

 The field of NLP

Or the normal language that people can see with their eyes and their procedures what this sees is the computer's field of view. Seeing a personal computer falls under the representative path of personal computers for data processing In recent times, there has been another way that I will come later People look at the scene around them through their eyes that makes images of this world from this field of dealing with images that despite the fact that Also, artificial intelligence has not been legitimately recognized in order to see a personal computer, where people can understand their condition and move smoothly, this is the field of mechanical autonomy that people can see examples of, for example, the collection of similar articles, this is the field of example of linters P and far away from our understanding of the design since it can benefit from more information and measurements of information, this is the field of artificial intelligence at the moment. How do we talk about the human mind? The human brain is a system of nerve cells and we use it to learn things. If we can imitate the structure and capacity of the human mind, we may have a choice to acquire subjective capabilities in machines. It is a field of deep realization

  Deep learning

 They are basically different strategies to reproduce wh on the human mind, potentially having a system to filter images from left to right to the end, it is a coiled nervous system that uses CNN to perceive questions in a scene this is how the PC vision fits in. Object recognition is practiced through Artificial intelligence, people can remember the past as you had in the wonderful previous dinner. In any case, the vast majority of you can get a nervous system to restore the restricted past and this is a discontinuous nervous system as you see there are two different ways, one of which works on a symbolic basis and the other is information based on Jean B The database is called AI and we have to keep the information piles from the machine before learning, for example, the opportunity to exit that you have groups of information for deals instead of promoting spending, you can draw that information to see an example of the opportunity to exit that the machine can become familiar with this For example, at this stage you can offer EC asts depend on what you achieved while marital or even three measurements are easy to understand and learn machines can learn in many measurements such as even hundreds or thousands and this is the reason why machines can take caution in many High dimensions information and design determination Once you learn these examples, they can make predictions that people cannot approach, and we can use all of these AI procedures to do one of the two things of characterization or expectation for example when you use some customer data to transfer new clients to a group like young adults and then you compile that The customer in the event that you use the information to predict the opportunity to exit is likely to surrender to one of the competitors, and at this point, you expect another approach to thinking about learning the mathematical operations used in artificial intelligence in the event that you train a calculation that contains information under We also need the appropriate response, on this point is called managed education, for example, when you train a device to recognize your companions by name, you will have to identify them with regard to the computer during the opportunity to come out with a calculation exercise on the information in which you need the device to understand examples in this The stage is that it teaches without assistance, for example, you should encourage information about divine articles known to humanity and expect that the device will fabricate designs in that information without anyone else having the opportunity to give any account a goal and expect the device through experimentation to achieve this The goal at that stage called learning support an effort to move the robot divider to succeed, and examples of this that there is a debt of gratitude for viewing and the chance to get out that I like recordings please buy in