Machine Learning is a branch of AI that involves training algorithms to learn from data and improve over time without being explicitly programmed.
Types of machine learning:
- Supervised Learning: Learning from labeled data.
- Unsupervised Learning: Finding patterns in unlabeled data.
- Reinforcement Learning: Learning through trial and error interactions.
Applications in search include:
- Ranking Algorithms: Adjusting rankings based on user behavior.
- Personalization: Tailoring results to individual preferences.
- Spam Detection: Identifying and filtering low-quality content.
In daily life, ML enhances recommendations, search results, and personalization. ML can optimize operations, predict trends, and enhance business decision-making. In marketing, it enables data-driven strategies and targeted campaigns. Trust in ML systems is linked to their performance and transparency in how they make decisions.
(See also Deep Learning and Reinforcement Learning.)