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Analysis of Contemporary College Students’ Employment Model Based on Logit Model and Machine Learning

机译：基于Logit模型与机器学习的当代大学生就业模式分析

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摘要

With the emergence of Internet big data, cloud computing, artificial intelligence and other new technologies, employment positions have also undergone profound changes. Small, medium and micro enterprises, new business forms and new models put forward new requirements for employment services in Colleges and universities. Starting from the current situation of College Students’ employment, this paper analyzes the reasons for the difficulty of College Students' employment and discusses how to solve the problem. In view of the group differences in the employment of college graduates, this paper puts forward some countermeasures and suggestions to speed up the development of service industry and promote employment, formulates the long-term strategy for the development of talent training institutions, and constructs an advanced account management system for college students. This paper analyzes the students' self-concept from the aspects of social needs, the change mode of school cultural concept and the lack of professional development. On the issue of College Students' employment, this paper analyzes the characteristics of College Students' employment and the needs of employers with the employment supply and demand as the main line. The results show that up to 26% of the graduates work in enterprises and at least 14% in administrative organs.
机译：随着互联网大数据的出现，云计算，人工智能等新技术，就业职位也发生了深刻的变化。小型，中型企业，新业务形式和新模式提出了高校就业服务的新要求。从现时的大学生就业情况开始，本文分析了大学生就业难度的原因，并探讨了如何解决问题的探讨。鉴于大学毕业生就业的差异，本文提出了一些对策和建议加快服务行业的发展，促进就业，制定长期战略，为人才培训机构的发展，建设大学生先进的账户管理系统。本文分析了学生的自我概念，从社会需求方面，学校文化概念的变革模式和缺乏专业发展。在大学生就业问题上，本文分析了大学生就业的特点，雇主的雇主的需求与就业供应和需求作为主线。结果表明，高达26％的毕业生在企业中工作，行政机关至少14％。

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