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These studies suggest machine learning is a branch of artificial intelligence that uses data and algorithms to train computers to perform tasks, make predictions, and improve over time without explicit programming.
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Machine learning (ML) is a rapidly evolving field within artificial intelligence (AI) and computer science that focuses on developing algorithms capable of learning from and making predictions based on data. This synthesis aims to provide a cohesive understanding of the definition and scope of machine learning based on insights from multiple research papers.
Definition and Scope of Machine Learning:
Interdisciplinary Nature:
Types of Machine Learning:
Applications and Capabilities:
Learning Process and Adaptability:
Machine learning is a dynamic and interdisciplinary field within AI that focuses on developing algorithms capable of learning from data. It encompasses a wide range of techniques and applications, from data mining to complex computational tasks, and is characterized by its ability to adapt and improve over time. The field continues to grow, driven by advancements in algorithms, data availability, and computational power, making it integral to various scientific, technological, and commercial domains.
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