'''[[Unstable Diffusion]]'''
==AI Definition==
===Introduction===
Artificial intelligence (AI), is the imitation of human intelligence in machines that can think and learn like humans. Machine learning (ML) uses AI to create algorithms and models that allow machines to perform better in a particular task.
===History of AI in Machine Learning===
AI in ML was founded in 1950 by pioneers like [[Alan Turing]] or [[John McCarthy]]. They first proposed the idea to create machines that can think and act like humans. The field has seen significant advances over the years, including the creation of the Perceptron, a type of neural network capable of learning to recognize patterns in data.
===Types of AI in Machine Learning===
There are many types of AI in ML.
*[[Supervised Learning]]: This type of AI uses labeled training data to predict new data.
*[[Unsupervised Learning]]: This type of AI uses unlabeled data to find patterns and structure in the data.
*[[Reinforcement Learning]]: This type of AI uses trial and error to learn, and then receives feedback in the form rewards or punishments for certain actions.
===Applications of AI in Machine Learning===
AI in ML can be used for many purposes, including:
*[[Computer Vision]]: AI in ML can be used to create algorithms that allow machines to understand and interpret visual data such as images and videos.
*[[Natural Language Processing]]: AI in ML can be used to create algorithms that allow machines to understand and produce human language.
*[[Autonomous Vehicles]]: AI in ML can be used to create algorithms that allow cars and other vehicles drive themselves.
===Explain Like I'm 5 (ELI5)===
AI in machine-learning is like teaching a robot to do things on its own. The robot learns by looking at examples. The robot then applies what it has learned to learn new things.
