Learn the language of the machine
We are now living at a smart time Our handset smartphone can understand us now. We can translate that language in Bangla or English, which can translate it. Many may be interested in how small a smartphone can do so! To understand the technical aspect, there should be an understanding of the various aspects of computer science research. The research that can be done by a machine or robot about various tasks around human intelligence is called Artificial Intelligence or Artificial Intelligence. As the name implies, the actual intelligence of the machine is nothing, it is nothing but a solid device. But the machine has a peculiarly powerful ability to imitate human intelligence. This powerful power is called machine learning. In this process, the machines now learn Bangla. It can be translated into Bengali, and it can be instructed to speak and instruct the machine.
What is machine learning?
The computer is given a power for which it can learn anything without first writing the program - this is machine learning. Because of its ability to learn, the computer can do anything very easily. In other words, if the computer increases the number of games, as well as its win rate, then the computer really knows how to learn. That means he is learning how to play, and the ability to learn from this itself is called machine learning.
The ability to understand
The field of various fields of computer engineering has been made in imitation of the five senses of human being. The ability to see through the eyes, its name has been given as 'Computer Vision'. The ability to listen to the ears, its name is "Speech to Text". The ability to smell the nose is named "electronic nose", which is involved in large-scale "pattern recognition" research field. The ability to touch now has all the smartphones, known as "touch sensors". The ability to taste food is probably the most complex and unnecessary for the device, so there is not much work to do on this research. Thinking about these research topics, it can be said that our smartphones are now touching, seeing and listening; These three senses can do quite well.
Apart from the five senses, there are more different fields based on man's ability. For example, the ability to speak in the face is called 'Text to Speech'. The ability to translate the language is called 'machine translation'.
The research is continuing
Researchers are now working with machine learning for these research purposes. Machine learning can be divided into several categories, such as supervised learning, unsupervised learning, semi-supervised learning, and re-infraction learning.
Supervised learning requires man-made training data (data). A program is trained based on this data, depending on which program decides. The entire process is called supervised learning. As if the mail in our mail inbox is spam, this decision is based on previous information.
Some information is given in the program and the program decides all the decisions based on it, but the result or output is not said anywhere. The program itself is able to understand it out. And this is called unsupervised learning. For example, some students are sitting in a class. This program will divide students and students into different categories, this is un-supervised learning.
Supervised and un-supervised learning combinations are called semi-supervised learning.
Robotic Process Automation (RPA) is being used in the corporate world as well as machine learning. As a result of this method, many machines have repeatedly learned the tasks done by the people themselves. There is no use in Bangladesh yet. If this method could be used in Bangladesh, then the manpower of Bangladesh could be made more efficient.
Trained instruments for the New discovery
Recent innovative discoveries have made this machine learning a very popular field of research. Using machine learning, you can write Google's keyboard or keyboard by talking in Bangla. This technology can be translated from English to Bengali in Google itself, and Google can hear it again. For the visually impaired, which is quite a job The more use it will be, the better.
Anyone can work with machine learning. For this, there should be a good idea of Python programming. Since all of the machine learning's mathematical, high-level knowledge must have algebra, statistics, and calculus. Work is also being made to make the Bengali language available in technology using machine learning.
Writer: Chief Technology Officer, Kazi IT Center Limited.
E-mail: kmanwar@gmail.com
The computer is given a power for which it can learn anything without first writing the program - this is machine learning. Because of its ability to learn, the computer can do anything very easily. In other words, if the computer increases the number of games, as well as its win rate, then the computer really knows how to learn. That means he is learning how to play, and the ability to learn from this itself is called machine learning.
The ability to understand
The field of various fields of computer engineering has been made in imitation of the five senses of human being. The ability to see through the eyes, its name has been given as 'Computer Vision'. The ability to listen to the ears, its name is "Speech to Text". The ability to smell the nose is named "electronic nose", which is involved in large-scale "pattern recognition" research field. The ability to touch now has all the smartphones, known as "touch sensors". The ability to taste food is probably the most complex and unnecessary for the device, so there is not much work to do on this research. Thinking about these research topics, it can be said that our smartphones are now touching, seeing and listening; These three senses can do quite well.
Apart from the five senses, there are more different fields based on man's ability. For example, the ability to speak in the face is called 'Text to Speech'. The ability to translate the language is called 'machine translation'.
Researchers are now working with machine learning for these research purposes. Machine learning can be divided into several categories, such as supervised learning, unsupervised learning, semi-supervised learning, and re-infraction learning.
Supervised learning requires man-made training data (data). A program is trained based on this data, depending on which program decides. The entire process is called supervised learning. As if the mail in our mail inbox is spam, this decision is based on previous information.
Some information is given in the program and the program decides all the decisions based on it, but the result or output is not said anywhere. The program itself is able to understand it out. And this is called unsupervised learning. For example, some students are sitting in a class. This program will divide students and students into different categories, this is un-supervised learning.
Supervised and un-supervised learning combinations are called semi-supervised learning.
Robotic Process Automation (RPA) is being used in the corporate world as well as machine learning. As a result of this method, many machines have repeatedly learned the tasks done by the people themselves. There is no use in Bangladesh yet. If this method could be used in Bangladesh, then the manpower of Bangladesh could be made more efficient.
Recent innovative discoveries have made this machine learning a very popular field of research. Using machine learning, you can write Google's keyboard or keyboard by talking in Bangla. This technology can be translated from English to Bengali in Google itself, and Google can hear it again. For the visually impaired, which is quite a job The more use it will be, the better.
Anyone can work with machine learning. For this, there should be a good idea of Python programming. Since all of the machine learning's mathematical, high-level knowledge must have algebra, statistics, and calculus. Work is also being made to make the Bengali language available in technology using machine learning.
Writer: Chief Technology Officer, Kazi IT Center Limited.
E-mail: kmanwar@gmail.com
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