Machine learning enables systems to learn patterns and make decisions from data without being explicitly programmed. This learning process allows machines to adapt to new situations, improve over time, and automate tasks. For example, a machine learning model can classify emails as spam or non-spam by recognizing patterns in the content. Machines learn to provide solutions to problems that are too complex for rule-based systems, such as natural language understanding, image recognition, and predictive analytics, making them valuable in diverse industries.
Why does machine learn?
- Natural Language Processing (NLP) Advanced Guide
- AI & Machine Learning
- Accelerated Vector Search
- Optimizing Your RAG Applications: Strategies and Methods
- Master Video AI
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