Machine Learning and Artificial Intelligence: Back to Basics

Both machine learning and artificial intelligence are common terms used in the field of computing. However, there are some differences between the two. In this article, we are going to talk about the differences that distinguish the two fields. The differences will help you gain a better understanding of the two fields. Keep reading to know more.

Overview

As its name suggests, the term Artificial Intelligence is a combination of two words: Intelligence and Artificial. We know that the word artificial points to something we do with our hands or refers to something that is not natural. Intelligence refers to the ability of human beings to think or understand.

First of all, it’s important to note that AI is not a system. Instead, in refers to something that you implement in a system. Although there are many definitions of AI, one of them is very important. AI is the study that helps train computers to do things that only humans can do. So, we allow a machine to perform a task like a human being.

Machine learning is the type of learning that allows a machine to learn on its own and no programming is required. In other words, the system automatically learns and improves over time.

So you can make a program that learns from their experience over time. Now let’s take a look at some of the main differences between the two terms.

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 obtain and apply knowledge.

The main goal of an AI-based system is to increase the probability of success, not the accuracy. So it doesn’t revolve around increasing accuracy.

It is a computer application that works intelligently like humans. The goal is to enhance natural intelligence to solve many complex problems.

It is about decision making, which leads to the development of a system that mimics humans to react in certain circumstances. In fact, it looks for the optimal solution to the given problem.

In the end, AI helps to improve wisdom or intelligence.

machine learning

Machine learning or MI refers to the acquisition of a skill or knowledge. Unlike AI, the goal is to increase accuracy rather than increase the hit rate. The concept is quite simple: the machine gets data and keeps learning from it.

In other words, the goal of the system is to learn from the data provided to maximize the performance of the machine. As a result, the system keeps learning new things, which may involve the development of self-learning algorithms. In the end, ML is about acquiring more knowledge.

Long story short, this was an introduction to MI and AI. We also discuss the main points of differences between the two fields. If you are interested in these fields, you can consult the experts for more information.