Tag: performance

Predictive Analytics

Written by Thomas Grubbe Møller on .

Predictive analytics is a type of data analysis that uses statistical algorithms and machine learning techniques to identify patterns in data and make predictions about future events. It involves analyzing current and historical data to make predictions about future events or outcomes, such as customer behavior, market trends, or risk assessment. Predictive analytics relies on data mining, machine learning, and statistical analysis to make predictions.

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Machine learning vs Artificial intelligence

Written by Thomas Grubbe Møller on .

- 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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Prescriptive Analytics

Written by Thomas Grubbe Møller on .

A note on Prescriptive Analytics - Prescriptive analytics is a type of data analysis that uses advanced mathematical and computational techniques to generate recommendations for action. - Prescriptive analytics combines data, statistical algorithms, and machine learning techniques to generate insights and recommendations that can help organizations make better decisions. - By providing organizations with specific recommendations for action, prescriptive analytics can help them optimize their operations, reduce costs, and improve performance

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Diagnostic analytics

Written by Thomas Grubbe Møller on .

Diagnostic analytics Diagnostic analytics is a type of data analysis that is used to identify the root cause of a problem or issue. It involves analyzing data and using various tools and techniques to identify patterns, trends, and relationships in the data that can help explain why the problem is occurring. There are a variety of tools and techniques that can be used in diagnostic analytics, including data visualization, statistical analysis, and machine learning algorithms.

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