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Machine Learning Vs. Artificial Intelligence

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What is Artificial Intelligence?

Artificial Intelligence is a concept that has been around for a while now. According to famous Greek mythologies, Artificial Intelligence was first discovered when mechanical men were designed in order to mimic the behavior of a human. After a few decades, when the first computers were introduced, they were conceived as something of a logical machine that had the capabilities of reproducing memory, arithmetic operations, and logical operations and so on and so forth.

In today’s day and age, Artificial Intelligence has somewhat of a deeper meaning in the sense that it uses the understanding of the human mind and the progression of complex calculations done by the brain into a machine.

There are mainly two classifications with respect to Artificial Intelligence. These are:

Generalized AIs: These are systems or devices that are less commonly used today. They, in theory, can handle any tasks and are at the core of most advancement in the field that is happening. These machines are what led to the concept of Machine Learning.

Applied AIs: These are far more common and complex systems that are designed to intelligently perform functions such as the trading of stocks and shares, manoeuvring of vehicles etc.

What is Machine Learning?

Machine Learning, a concept that has gained considerable momentum in the recent past, is, in fact, an application or genre of Artificial Intelligence. Thus, it provides systems or devices that are programmed on the basis of AI, the ability to learn automatically and improvise on whatever has been learned without actually being explicitly programmed. Thus, it focuses on the development of a form of self-sufficient computer programs and devices which can access data learn from it and use it, all by themselves.

It is done by first helping the system to observe data through direct or indirect means. This can be done either by determining patterns in behavior or instructions. Based on these observations, decisions with respect to future functioning are taken. The main advantage of such a system is that there is little or no human intervention and the system adjusts itself accordingly to the need of the hour.

How is Machine Learning different from Artificial Intelligence?

There are some stand-out differences between Artificial Intelligence and Machine Learning. These differences are mostly application based, considering that Machine Learning is one of the applications of Artificial Intelligence. Some of these differences are:

– AI defines intelligence as the acquisition of knowledge. Thus, Artificial Intelligent focuses on the ability to acquire as well as apply knowledge. On the other hand, Machine learning treats knowledge as a self-sufficient skill that needs no human intervention.

– Artificial Intelligence focuses more on the success rates of devices and systems rather than the accuracy. However, Machine Learning may give lesser success rates, but the accuracy is always higher than that of AI.

– Artificial Intelligence can be compared to a computer program that is already pre-written and follows certain protocols that help with smart work. Machine Learning, is a concept machine that acquires data through certain protocols and learns from the data acquired.

– The goal of Artificial Intelligence is to solve any complex problem or algorithm by using concepts of natural intelligence. On the other hand, the goal of Machine Learning is to learn from the data acquired in order to maximize the performance of the machine that is performing on a certain task.

– While Artificial Intelligence is on the path to mimic human responses to circumstances and problems, Machine Learning focuses on self-learning algorithms which in turn will increase the reliability of the machine or device that is being used.

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