2022
DOI: 10.1155/2022/9515736
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On the Training Mode of Innovative and Entrepreneurial Talents in Higher Vocational Finance and Economics Professional Groups under the Background of “Big Wisdom and Cloud”

Abstract: The arrival of the era of “big wisdom and cloud” has promoted the restructuring of the industrial system, and the development of the new economy has also brought new changes to the demand for financial and business professionals. With the change of the employment market, the training objectives of financial and business professionals are also changing day by day. Practical teaching is becoming more and more important in the training of financial and business professionals. “Employment” in people’s livelihood h… Show more

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Cited by 6 publications
(5 citation statements)
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“…Various open-source LDA modelling tools have been developed for automated parameter estimation, and seven of them are commonly used in the domain of library and information science. These tools include the Stanford TMT (Topic Modelling Toolbox) [52], JGibbLDA [53], Mallet [54], Lda library [55] and topicmodels library [56] based on Java and R languages respectively, as well as the Gensim library and Scikit-learn library based on Python. By employing these tools to perform model solving, parameters are estimated for document-topic and topic-word distributions [57].…”
Section: Model Solvingmentioning
confidence: 99%
“…Various open-source LDA modelling tools have been developed for automated parameter estimation, and seven of them are commonly used in the domain of library and information science. These tools include the Stanford TMT (Topic Modelling Toolbox) [52], JGibbLDA [53], Mallet [54], Lda library [55] and topicmodels library [56] based on Java and R languages respectively, as well as the Gensim library and Scikit-learn library based on Python. By employing these tools to perform model solving, parameters are estimated for document-topic and topic-word distributions [57].…”
Section: Model Solvingmentioning
confidence: 99%
“…Bayesian statistics serves as a valuable tool for enhancing entrepreneurial methods and abilities among college students in the new era. By equipping students with the analytical frameworks and decision-making tools needed to navigate uncertainty and capitalize on opportunities, educators can empower the next generation of entrepreneurs to thrive in today's complex and competitive business landscape [21]. Through a combination of theoretical instruction, practical applications, and experiential learning opportunities, Bayesian statistics can unlock the full potential of college students and drive innovation in the entrepreneurial ecosystem [22].…”
Section: Introductionmentioning
confidence: 99%
“…In 2015, the General Office of the State Council of China, "Implementation Opinions on Deepening the Reform of Innovation and Entrepreneurship Education in Colleges and Universities," emphasized that continuing to deepen the reform of innovation and entrepreneurship education in schools is an important initiative to serve the construction of an innovative country, the implementation of the national innovation-driven development strategy, and the promotion of economic development to enhance the quality of the economy, and it is a key step in the promotion of the comprehensive reform of higher education, and to promote the high-quality employment and entrepreneurship for college and university graduates [1][2]. In the same year, the State Council's Opinions on Several Policies and Measures to Vigorously Promote Mass Entrepreneurship and Innovation clearly stated that the construction of innovation and entrepreneurship mentor teams should be strengthened to enhance the level of entrepreneurship services and the quality of innovation and entrepreneurship talent training [3][4].…”
Section: Introductionmentioning
confidence: 99%