首页|Researchers’ from Bucharest University of Economic Studies Report Details of New Studies and Findings in the Area of Artificial Intelligence (The Development of Educational Competences for Romanian Students in the Context of the Evolution of ...)
Researchers’ from Bucharest University of Economic Studies Report Details of New Studies and Findings in the Area of Artificial Intelligence (The Development of Educational Competences for Romanian Students in the Context of the Evolution of ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Data detailed on artificial intelligence have been presented. According to news originating from Bucharest, Romania, by NewsRx correspondents, research stated, “The study explores key academic competencies and professional skills in data science in the context of the development of artificial intelligence, highlighting their importance in the business environment.” The news correspondents obtained a quote from the research from Bucharest University of Economic Studies: “Using the ‘2022 Stack Overflow Annual Developer Survey’ dataset and machine learning methods such as principal component analysis, K-means clustering, and logistic regression, professional skills in science are analysed the data. The research targets the distribution of jobs in the field, the level of experience, the languages and analysis programs used, the support offered by companies, and the dynamics of data science teams, as well as the impact that artificial intelligence has on the field. With their help, a comprehensive understanding of the impact of academic training on career opportunities in the field of data science is provided, contributing to the development of the profile of the qualified specialist in this field. The research also provides relevant pointers and recommendations for enhancing the skills required in data science in order to outline a skilled profile and fulfil the demands of the business environment in a world dominated by data analytics and artificial intelligence. By including academic skills in the process of training data science specialists, the research brings innovation and highlights the skills needed to be trained in the academic field to facilitate the employment of graduates in specific fields of data science.”
Bucharest University of Economic StudiesBucharestRomaniaEuropeArtificial IntelligenceEmerging TechnologiesMachine Learning
NETL
NSTL
