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Unveiling the Differences Between Machine Learning and Artificial Intelligence

AI is a broader field that encompasses any system that can reason, learn, and act autonomously.

ML is a subset of AI that focuses on the ability of machines to learn from data without being explicitly programmed.

Differences between AI and ML:

FeatureArtificial Intelligence (AI)Machine Learning (ML)
DefinitionA broad field of computer science that seeks to create intelligent machinesA subset of AI that focuses on the ability of machines to learn from data without being explicitly programmed
GoalTo create machines that can think and act like humansTo give machines the ability to learn and improve on their own
MethodsA wide range of methods, including expert systems, natural language processing, and computer visionAlgorithms that can learn from data, such as neural networks, support vector machines, and decision trees
ApplicationsA wide range of applications, including robotics, healthcare, finance, and transportationA wide range of applications, including image recognition, natural language processing, and predictive analytics