Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
Machine learning focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
The three main Machine Learning types are :
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
This repository highlights some Machine Learning Mechanisms that make data based predictions.