Machine Learning is the science about programming algorithms that can learn from data, to improve its performance at a given task. It’s also a sub-field inside artificial intelligence. It uses applied math and Statistics for basically every algorithm.
Quoting some already established authors:
Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed. — Arthur Samuel, 1959.
A more technical one:
A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E. — Tom Mitchell, 1997.
Contrary to what the buzzwords say, machine learning has been around for some decades already. Optical Character Recognition (OCR) and e-mail spam detection are some of the first applications that can be considered machine learning.
Metrics
Supervised Learning
Unsupervised Learning
Data Centric AI
- Data-Centric AI
- Data-Centric Evaluation
- Confident Learning
- Class Imbalance
- Underperforming Subpopulations