A field of science that enables a computer to learn without being explicitly programmed. Deep learning is a subset of machine learning that enables large-sized machine learning models to be trained on large amounts of data. Thus, it can provide a suitable estimation of natural processes. There are three types of machine learning models:
- Supervised learning. Data sets are labeled so that patterns can be detected and used to label new data sets.
- Unsupervised learning. Data sets aren’t labeled and are sorted according to similarities or differences.
- Reinforcement learning. Data sets aren’t labeled but, after performing an action or several actions, the AI system is given feedback, and based on the feedback a reward or punishment is decided.
Machine Learning Course contents by Andrew NG
https://github.com/qazizia/Machine-Learning-notes
