28/08/2023
AI and Machine Learning are two related but distinct concepts in the field of computer science.
AI is the general term for creating software that can perform tasks that require human intelligence, such as reasoning, learning, and decision-making.
Machine Learning is a subset of AI that uses algorithms to learn from data and improve their performance over time.
Machine Learning models are the output of running algorithms on training data, and they can perform specific tasks such as image recognition, natural language processing, or recommendation systems.
AI and Machine Learning are connected in the sense that most AI applications today use Machine Learning as the method to achieve artificial intelligence.
However, AI is not limited to Machine Learning, and there are other subfields of AI that use different approaches, such as expert systems, robotics, or deep learning.
Machine Learning is also not exclusive to AI, and it can be used for other purposes, such as data analysis, statistics, or optimization.
In summary, AI is the broader concept of creating software that can mimic human cognition, while Machine Learning is one of the techniques to achieve that goal by using data and algorithms.
