Difference between Data scientist, ML and AI

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Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.

Data scientists analyze large amounts of data to uncover patterns and insights.
Machine learning involves developing algorithms that improve automatically through experience.
Artificial intelligence refers to machines performing tasks that typically require human intelligence, such as speech recognition or decision-making.
Data scientists use statistical techniques to analyze data, while ML algorithms learn from data to make predictions or decisions.
AI systems can adapt and learn from new data without being explicitly programmed, unlike traditional software systems.
Example: A data scientist may analyze customer data to identify trends, an ML algorithm may predict customer churn based on historical data, and an AI system may use natural language processing to understand and respond to customer queries.

Difference between Data scientist, ML and AI

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