In today's business field, data mining technology has become an indispensable part, and it is also a hot research direction. This paper mainly discusses and analyzes machine learning algorithm. First, we will introduce the classification, clustering and classification models of biological samples. Secondly, we will briefly discuss two different methods based on artificial neural network and hybrid Bayesian tree algorithm in theory. Finally, we will draw a conclusion through experimental comparison that the performance of machine learning in business application models in data mining is relatively reasonable, and the model processing time is relatively short, which meets the needs of users. At the same time, this paper also puts forward relevant suggestions to enhance the application value of this technology in business, so as to provide some help for enterprises to mine effective information.

Jin Zhao. Business Application of Machine Learning Technology in Data Mining. Machine Learning Theory and Practice (2023), Vol. 4, Issue 1: 27-34. https://doi.org/10.38007/ML.2023.040104.

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