Integration of Optimization Techniques to Improve Performance of Machine Learning System

Abstract

Machine learning (ML), a kind of artificial intelligence, may help software systems become better at anticipating outcomes without explicitly designing them (AI). Machine learning systems use historical data to predict future values. Optimization strategies are a must-have toolkit for effectively managing an organization's resources and maximizing shareholder returns. This study's focus was on finding the best ways for developing machine learning systems. Researchers are using optimization methodologies to improve machine learning performance. Using optimization approaches in research is being explored with the purpose of boosting output. In order to help investors make better judgments, the collection of crypto currencies is currently being used. The optimization will assist in narrowing down the crypto currency dataset. Integrating an optimization method to boost a machine learning system's performance is what the proposed study aims to do.