What is machine-learning, and why is it important?

In the face of tech-teasing people, recently some words can be heard to multiply. Sometimes it is multiplied by big talk, discussion and criticism. Actually one term or word of current technology is giving birth to a single trend. One of the terms that the technology has laid out in technology is machine-learning. Technicians and businessmen love to use this term lately, whether they understand or not understand.

Again, the information available on the Internet is either too simple or too complicated. In this post I tried to make a match between simplicity and complexity. Trying to understand simple language is what machine learning is and why it is important. Try answering the following quizzes:

2, 4, 6, 8 ....

"8" what will happen next?

2 - 4

3 - 9

4 - 16

5 -?

What will be the place of question marks?

Answer 1 of 10, and 2 no. How do you understand? Do not see the pattern? A computer can tell the pattern of the previous event and then what will happen later. A computer can look at the pattern of the previous event and then what will happen next. Machine learning, artificial intelligence or artificial intelligence is a branch.

This machine learning is basically an attempt to behave like a computer man. How a person learns, how to create a wealth of experience, the way he uses the knowledge and experience he has experienced in the new situation and resolves new problems in the new environment; In the same way, machine learning is the effort to try to solve new problems and solve machine learning. Here the term takes its meaning. If we say more correctly, then machine learning is the ability to teach the computer itself.

A child has been through various experiences since birth. When you get up and go down, try to stand up differently, once you learn to stand up. For the first time, they fall asleep but after several attempts, they learn to walk. The fire goes to catch sight of it, it can be dangerous to catch it, if it feels tired. Do not hold on again. When we see the tigers, we do not give them the tiger's hand. Because we have seen that hand will not be completely recovered. Based on past experiences such that, whether it is direct or indirect, human behavior or making a decision; We call it intelligence. And behind all this, the call is to bend the brain, with its sense.

To behave like a human being, a computer would like to have a brain like a human. The neurons of the biological brain are structural units. Below is a picture of a neuron:

A neural picture of the brain.

Dendritite data in the neuron Information on cell-body processing is done. At the end of processing, the data reaches neurons with the action. Synergus is the junction of two neurons. When a neuron is connected to another neuron, it creates a neural network. And we call that network nervous. One nerve is engaged in one task.

Computer-scientists have created this artificial neural network (ANN), which can lead to specific functions such as nerve, inspired by this biological-neuron. Such as: Pattern Recognition, Face Recognition etc. However, an artificial neural network is basically a mathematical function. See the picture below.

A neural network is basically a mathematical function.

Image of X1, X2, X3, ..., Xn These are just as unique functions as nuances. The results obtained after the processing of each data are presented together with the help of statistics, like nervous. The more subtle results will be available as much data is processed. Neural networks are used in machine learning.