Machine Learning Techniques
Machine learning techniques refer to methods and algorithms used in artificial intelligence to enable machines to learn from data and improve their performance on a task without being explicitly programmed. These techniques involve statistical models and computational algorithms that allow computers to automatically learn and make predictions or decisions based on data. Examples of machine learning techniques include linear regression, decision trees, support vector machines, neural networks, and deep learning.
External Links
- [dataminingbook.com] Machine Learning for Business Analytics | Concepts, Techniques, and Applications