Machine Learning vs. Artificial Intelligence: What are the Differences
Both Machine Learning (ML) and Artificial Intelligence (AI) are common computer science terms that often seem to be used interchangeably. Even though these two are related, they are not quite the same and sometimes lead to confusion. Machine Learning and Artificial Intelligence mostly creep up when discussing analytics or Big Data.
Despite Artificial Intelligence and machines being part of our everyday life, we still don’t understand them all that well. If you’re hoping to integrate one or the other into your business, it is essential that you know their differences. Keep in mind that Artificial Intelligence and Machine Learning are not necessarily suited to perform the same tasks. If you want to take your business to the next level you need to know which to choose and when. Here are some of the differences between ML and AI.
Definition
Artificial Intelligence means that machines can be programmed to perform tasks that mirror human intelligence. Such machines can do more by adapting to different situations instead of the traditional ones that perform one single repetitive motion. Tasks associated with AI include problem-solving, understanding language, learning, planning and recognizing surroundings among others.
On the other hand, Machine Learning, a branch of AI, is the acquisition of skill or knowledge in that machines can process data and learn on their own without constant human supervision.
Purpose
While AI aims at increasing the chances of success and not accuracy, ML aims at increasing accuracy without necessarily caring about success. So while ML can exist without AI, the opposite will take time and enormous amounts of money to develop smart machines.
Function
The function of AI is to work as a computer program that does smart work. Machine Learning’s function involves a simple concept that allows machines to take data, process and learn from it.
Goal
The goal of machine learning is to maximize machine performance by learning from the data processed on a certain task. In essence, it allows machines to learn new things from the data. On the other hand, AI’s goal is to simulate natural intelligence for solving complex problems making it a decision-making system.
End Game
Since AI leads to the development of a system that mirrors human intelligence, it will ultimately go for finding the optimal solution thus leaning on wisdom and intelligence. Machine Learning involves creating self-learning algorithms for an accurate solution regardless of whether it is optimal or not.
So, which one is right for you?
Machine Learning and Artificial Intelligence can both have valuable applications for any business. Deciding which of the two is best for you depends on the needs of your company.
Even though both systems have a plethora of great applications to offer, many companies are starting to focus on ML which in turn has given it more publicity lately. However, AI goes beyond mere machine learning and can be quite useful for a myriad of applications that don’t need ongoing learning.