You will find both these words Machine learning and Artificial intelligence everywhere in recent times. There are a lot of differences between the two but we will talk about some of them. In this article, we are going to talk about the differences that set the two fields apart. The differences will help you get a better understanding of the two fields. Read on to find out more.
Overview
The term Artificial Intelligence is made up of a combination of two general words namely Artificial and Intelligence.
We know that the word artificial refers to any object or concept or phenomenon or each and everything else that is made by humans means it refers to something that is not natural but man-made. Intelligence refers to the ability of humans to think, feel, understand, observe and blah-blah.
The most important point to keep in mind is that AI is not merely a system. Instead, it refers to something that is implemented in a system. Although, there are numerous definitions of AI, one of them is very common.
AI is a study that helps train computers in order to make them do things that only humans can do. So, we kind of enable a machine to perform a task as a human would do.
Machine learning can be defined as the kind of learning that allows a machine to learn on its own while no programming is involved. In other words, the system learns and improves automatically with time.
So, you build a program that learns from its previous experiences with the passage of time. Now, we get to the two terms one by one. Also, you can read about Mobile Applications based on Machine Learning.
Artificial Intelligence
AI refers to Artificial Intelligence. In this case, intelligence is the acquisition of knowledge. In other words, the machine has the ability to get and apply knowledge.
The primary objective of an Artificial Intelligence based system is to increase the probability of success, not accuracy. So, it doesn’t revolve around increasing the accuracy.
It includes a computer application that does work in a smart way like humans do. The goal is to boost natural intelligence in order to solve a number of complex problems.
It’s mainly about decision making, which then leads to the development of an alternate system that replaces humans to react in certain circumstances. In fact, it looks for the optimal solution to the given problem.
In the end, AI helps improve wisdom or intelligence.
Machine Learning
Machine learning or MI refers to the acquisition of a skill or knowledge from some other source. Unlike AI, the main target is to achieve accuracy levels than the success rate.
The concept is quite simple: machines get data and continue to learn from it.
In other words, the goal of the system is to learn from the given data in order to maximize the machine performance. Because of this, the system keeps on mugging up new stuff, which may include developing self-learning algorithms. In the end, ML is all about acquiring more knowledge.
This was a brief introduction to the commonly used terms of Machine Learning and Artificial Intelligence. We also discussed the primary points of differences between the two fields.
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Great post.
Thanks Pranita for your support.