Data Mining and Machine Learning

Data mining aims to extract rules from large amounts of data, while machine learning teaches computers how to learn and understand given parameters. Or in other words, data mining is just a research method that can determine a specific result based on the total amount of data collected. Machine learning uses data mining and computational intelligence algorithms to improve decision-making models. Example applications of data mining and machine learning in business use include: Search engines: Adapting search engine results to search behaviour and search user preferences. The job of a data scientist is to examine data to make predictions, and without data mining and machine learning, a data scientist cannot do their job. They must perform data mining to characterize data, and they must integrate machine learning algorithms to make predictions.

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