Abstract
Machine learning is an automization based technique that learns automatically about something without specific programming of the task. It is used in a variety of fields. The capabilities of Data-driven modeling (DDM) have recently been expanded by advances in machine learning, allowing artificial intelligence to infer system behavior by correlating computing and exploiting between variables that were observed within them. The use of auto-generated high volume business data can be enabled by machine learning algorithms and aided by applying models of ecosystem services across scales, allowing the flow of these services to be analyzed and predicted to disaggregated beneficiaries. Machine learning is a very advanced field with numerous applications in a wide range of business environments. Currently, in the field of information science, data processing techniques such as machine learning have been developed and applied in a variety of areas for practical applications.
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Sriram, V.P., Sujith, A.V.L.N., Bharti, A., Jena, S.K., Sharma, D.K., Naved, M. (2023). A Critical Analysis of Machine Learning’s Function in Changing the Social and Business Ecosystem. In: Yadav, S., Haleem, A., Arora, P.K., Kumar, H. (eds) Proceedings of Second International Conference in Mechanical and Energy Technology. Smart Innovation, Systems and Technologies, vol 290. Springer, Singapore. https://doi.org/10.1007/978-981-19-0108-9_36
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