What is Machine Learning and how does it relate to AI?
What is Machine Learning and how does it relate to AI?
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17-Apr-2025
Updated on 21-Apr-2025
Khushi Singh
21-Apr-2025The subfield of Artificial Intelligence known as Machine Learning enables systems to obtain knowledge automatically from data which helps them detect patterns without extensive human involvement. The training process of machine learning models uses extensive datasets to improve their capacity to achieve accurate outcomes instead of receiving predefined task programming.
The fundamental function of ML enables computers to learn and adapt through experiences as people learn. The learning process takes place through supervised data labeling and unsupervised pattern detection in unlabeled information and reinforcement learning methods that use rewards and penalties.
Machine learning processes data through algorithms which consist of decision trees, support vector machines, neural networks, and k-means clustering to perform operation and data learning functions. These algorithms give systems the capacity to recognize speech and find objects in images as well as stop spam emails and generate recommendations for products or content based on user actions.
Artificial Intelligence serves as a large domain which works toward the development of equipment that demonstrates human-level intelligence. The exciting realm of AI contains four groups of research areas: rule-based systems, knowledge representation, natural language processing and robotics and machine learning. The purpose of artificial intelligence extends beyond data-based learning because machine learning operates as a prominent component within its boundaries.
ML stands as an AI sub-discipline. Fast implementation of AI through ML gives computers abilities to learn from data while developing self-adapting functionality that exceeds hard-coded program specifications. The ability of artificial intelligence systems to handle various complicated data-driven tasks becomes better because of the flexibility and scalability provided by AI systems.
AI functions as the overarching field that studies intelligent behavior yet ML represents a vital AI technique which gives machines the ability to learn data to boost the performance and operational capability of intelligent systems applied in real environments.