Machine Learning is a subset of Artificial Intelligence (AI) that enables systems to automatically improve their performance with experience. It is a method of teaching computers to learn from data, without being explicitly programmed. The process of Machine Learning involves feeding a computer system with data, and then letting it analyze the data to identify patterns and make predictions or decisions without human intervention.

There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

1. Supervised learning is when the system is trained on a labeled dataset, and then uses this information to make predictions about new, unseen data.
2. Unsupervised learning is when the system is not provided with labeled data, and must find patterns and relationships in the data on its own.
3. Reinforcement learning is when the system is trained by being rewarded or penalized for certain actions in an environment.

Machine learning is used in a wide range of applications, such as natural language processing, image recognition, self-driving cars, and fraud detection.

Answer generated by AI @ ChatGPT

Image generated by AI @ Stable Diffusion

* This post was generated by Artificial Intelligence. You should not rely on the accuracy of this post as AI is subjective and machines make mistakes. This post has not been checked for accuracy.