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Descriptive analytics

Descriptive analytics - Descriptive analytics is a type of analytics that focuses on describing what has happened in the past. - It involves summarizing and visualizing data to better understand patterns, trends, and relationships.

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Machine learning vs Artificial intelligence

- Machine learning and artificial intelligence (AI) are related, but distinct, fields of study and technology. - Artificial intelligence, on the other hand, is a broader field that encompasses machine learning as well as other approaches to building intelligent systems. - In summary, machine learning is a specific approach to building AI systems that involves training algorithms on data, while AI is a broader field that includes machine learning as well as other approaches to building intelligent systems

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Descriptive analytics

Descriptive analytics is a type of analytics that focuses on describing what has happened in the past. It involves summarizing and visualizing data to better understand patterns, trends, and relationships. Descriptive analytics is typically used to answer questions like: What has happened in the past? Descriptive analytics is an important first step in the data analysis process, as it allows organizations to understand their data and identify areas that may require further investigation.

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