Many ordinary people use the terms artificial intelligence and machine learning as synonyms without knowing the difference. These two concepts are two different concepts, although machine learning is part of artificial intelligence. AI is a huge area of topics where machine learning consists of a small part. Let's look at the main differences between them.
Artificial intelligence is an area of computer science that creates a computer system that can mimic human intelligence. We can afford to say that it is the power of thought that has been created by man. The artificial intelligence system uses algorithms that work with their intelligence. It includes machine learning algorithms such as reinforcement learning algorithms and neural networks for deep learning.
Machine learning allows a computer system to make predictions or make certain decisions using historical data without being explicitly programmed. It uses a huge amount of structured and semi-structured data, so a machine learning model can generate accurate results or provide predictions based on that data. It works on an algorithm that learns itself using historical data.
Machine learning only works for specific domains, for example, if we create a machine learning model to detect dog images, it will provide results only for dog images, but if we provide new data, such as a cat image, it will stop responding. It is used in various places, such as online referral systems, Google search algorithms, e-mail spam filters, auto-tagging suggestions for Facebook friends, and more.
Artificial intelligence is a technology that allows a machine to simulate human behaviour. Machine learning is a subset of AI that allows machines to automatically learn from past data without explicit programming. The goal of AI is to create an intelligent computer system, such as humans, to solve complex problems. The goal of ML is to allow machines to learn from data so that they can provide accurate output. In AI, we produce intelligent systems that perform any task as a human being. In ML, we teach machines with data to perform a specific task and give an accurate result. ML and deep learning are the two main subsets of AI. Deep learning is a major subset of machine learning. AI has a very wide scope. ML has a limited scope. AI is working to create an intelligent system that can perform various complex tasks. ML works to create machines that can perform only those specific tasks for which they are trained. The AI system takes care of maximizing the chances of success. Machine learning deals mainly with accuracy and patterns. The main applications of AI are Siri, customer support using catboats, expert systems, online gaming, intelligent humanoid robots, etc. The main applications of machine learning are the online referral system, Google search algorithms, suggestions for automatic tagging of Facebook friends, etc. learning is part of artificial intelligence. It can be said that artificial intelligence is a huge area of topics where machine learning consists of a small part.
After reading this article, can you tell the difference between artificial intelligence and machine thinking? If you have questions, you can write in the comments. Yüce Software will be happy to answer your questions or opinions.