It is one of the most talked about concepts in the technology world today. yapay zeka (AI) ve machine learning (ML), are often confused with each other. So do these two terms really mean the same thing? Or are there significant differences between them? In this article, we will discuss the differences between artificial intelligence and machine learning in a simple and understandable language, and explain with examples which one is used when.
Yapay Zeka Nedir?
Artificial intelligence is the general name for systems that can perform tasks that require human-like intelligence. These tasks include skills such as thinking, learning, problem solving, decision making, and even language understanding. Artificial intelligence covers a wide field, and machine learning is a sub-branch of this field.
Artificial intelligence systems are basically divided into three categories:
- Narrow (Weak) AI: They are systems designed to perform a specific task (e.g. voice assistants).
- General (Strong) Artificial Intelligence: They are theoretical systems that can think in multiple ways, similar to human intelligence.
- Super Intelligence: It is a type of artificial intelligence that does not yet exist and is advanced to a level that can surpass human intelligence.
What is Machine Learning?
Machine learning is one of the sub-disciplines of artificial intelligence and enables systems to learn from data. That is, it gives a computer the ability to perform certain tasks without being explicitly programmed. The main idea here is that the system can extract meaning from past data and make predictions or decisions suitable for similar situations in the future.
Machine learning falls into three basic categories:
-
Supervised Learning
It is trained with labeled data. For example; distinguishing spam emails. -
Unsupervised Learning
It aims to discover patterns with unlabeled data. For example; customer segmentation. -
Reinforcement Learning
The system learns with reward/punishment logic. For example; AI agents playing games.
So, what are the differences between them?
Although the terms artificial intelligence and machine learning are often used interchangeably, there are actually fundamental differences between them. The most obvious difference is the difference in scope and method.
|
Feature |
Yapay Zeka (AI) |
Machine Learning (ML) |
|---|---|---|
|
Kapsam |
Broad, covering all intelligent systems |
A sub-branch of AI |
|
Aim |
Human-like decision making and thinking |
Learning and predicting from data |
|
Approach |
Can be rule-based, learning-based, or both |
Based on learning only |
|
Human Intervention |
More intervention may be required |
The system improves on its own over time |
|
examples |
Speech recognition, robotics, natural language processing |
Spam filtering, product recommendation systems |
Why is it important to know this distinction?
As technology develops rapidly, understanding these concepts correctly makes a big difference for both individuals and businesses. For example, if an enterprise wants to establish a system that develops with data ML infrastructure should use. However, if the system needs to understand languages, establish natural dialogue, or recognize images, AI solutions tercih edilmelidir.
Kurt
Machine learning or artificial intelligence?