Artificial intelligence and machine learning are at the forefront of innovation, with many still puzzled by how they work. This article aims to help you move beyond the hype, see what artificial intelligence (AI) is, and how you can relate it to Machine Learning (ML).
What is artificial intelligence?
Artificial Intelligence is a term used to describe the science and engineering of making intelligent machines that work and behave like humans.
The term ‘artificial intelligence or AI is often confused with the term ‘machine intelligence’. The former refers to creating a computer program that displays human-like cognitive abilities, while the latter is the technology that allows these programs to be developed and applied. In other words, Artificial intelligence is a computer technology that enables machines to perform tasks that would otherwise require human intelligence. Computers develop artificial intelligence, which has become increasingly common in modern society.
What is Machine Learning
Machine Learning (ML) enables computers to learn independently, like humans. ML is the hot trend in data science right now and shows no signs of slowing down (who could have thought that?).
In other words, Machine learning is a field of computer science that involves building computer programs based on data analysis to achieve specific goals, such as recommending products or services, categorizing text and images into groups, identifying unknown faces in images, and more. AI gives computers the ability to learn without being explicitly programmed. It can be used for a wide variety of practical and technical applications. Most importantly, it has paved the way for new ways to improve innovation.
References:
- What is Machine Learning?
- What is Artificial Intelligence (AI)?
- Artificial intelligence and Machine Learning
- ChatGPT Reinforcement Learning from Human Feedback (RLHF AI)
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