MACHINE LEARNING- What is it?
Machine learning is the scientific study of algorithms and statistical models. The computer uses these models. To perform specific tasks by itself. It performs a task without using precise instructions. MACHINE LEARNING concept develops in a machine the ability to learn.
MACHINE LEARNING- History:
MACHINE LEARNING- Applications:
There are many applications of MACHINE LEARNING in today’s world. In earlier times, we used computers just to make the
Today, we use MACHINE LEARNING in fields
Today, we have computers to which we can talk. We can ask questions from computers. In response to the questions, the computer gives the answer. There are facilities by which we can talk to our computer. We have a personal assistant to interact with. You can talk to them. We can ask them to do certain work.
And this is only possible by the concept of artificial intelligence. When we ask about the time from these assistants, they give the time. You can also ask difficult questions to them and they will give the answers. Hence, somewhere we feel like we are talking to a person. But this is the computer.
This proves that the computer can think. Artificial intelligence enables the computer to think and respond.
MACHINE LEARNING is a part of artificial intelligence.
MACHINE LEARNING- Importance:
We have customer care for mobile networks. Nowadays, human resource is replaced by artificial intelligence. When you talk to customer care, it is not a person. It is a computer to which you are talking. The computer understands you and your problems. And then solves it efficiently. It is built on artificial intelligence.
When you upload photos on facebook and with your friends. Facebook automatically recognizes your friend’s face with his/her name. Have you noticed it? Artificial intelligence does this. Facebook also uses AI.
MACHINE LEARNING- Requisites
AI is for you. If you like mathematics, to solve real-world problems, like challenges. Then AI is best for you. And also AI is the most trendy specialization. There is lot of money in this field.
Creating software which can learn by themselves is MACHINE LEARNING. There is a method by which the machine learns. It learns by the input. When we provide more inputs to the machine. It gets to experience. And hence it learns. In MACHINE LEARNING, the computer learns by experience.