scholarly journals Exploration of Quant Trading Talents’ Training Mode of University Education Based on Artificial Intelligence

2021 ◽  
Vol 1881 (2) ◽  
pp. 022057
Author(s):  
Jiaxuan Chen
Author(s):  
Shatakshi Singh ◽  
Kanika Gautam ◽  
Prachi Singhal ◽  
Sunil Kumar Jangir ◽  
Manish Kumar

The recent development in artificial intelligence is quite astounding in this decade. Especially, machine learning is one of the core subareas of AI. Also, ML field is an incessantly growing along with evolution and becomes a rise in its demand and importance. It transmogrified the way data is extracted, analyzed, and interpreted. Computers are trained to get in a self-training mode so that when new data is fed they can learn, grow, change, and develop themselves without explicit programming. It helps to make useful predictions that can guide better decisions in a real-life situation without human interference. Selection of ML tool is always a challenging task, since choosing an appropriate tool can end up saving time as well as making it faster and easier to provide any solution. This chapter provides a classification of various machine learning tools on the following aspects: for non-programmers, for model deployment, for Computer vision, natural language processing, and audio for reinforcement learning and data mining.


Proceedings ◽  
2020 ◽  
Vol 54 (1) ◽  
pp. 48
Author(s):  
Sara Guerreiro-Santalla ◽  
Francisco Bellas ◽  
Richard J. Duro

The present paper is part of the European Erasmus+ project on educational innovation led by the UDC and entitled “AI+: Developing an Artificial Intelligence Curriculum adapted to European High School”. In this paper, the progress achieved during the first year of the project will be presented. Mainly, the definition of the methodological approach for this future subject has been defined, and the AI topics to be dealt with at this age have been established. It has been a great effort to select the most appropriate focus for this subject considering the students’ and teachers’ technical background and the schools’ equipment.


Author(s):  
Rwitajit Majumdar ◽  
Brendan Flanagan ◽  
Hiroaki Ogata

UNESCO reported that 90% of students are affected in some way by COVID-19 pandemic. Like many countries, Japan too imposed emergency remote teaching and learning at both school and university level. In this study, we focus on a national university in Japan, and investigate how teaching and learning were facilitated during this pandemic period using an ebook platform, BookRoll, which was linked as an external tool to the university’s learning management system. Such an endeavor also reinforced the Japanese national thrust regarding explorations of e-book-based technologies and using Artificial Intelligence in education. Teachers could upload reading materials for instance their course notes and associate an audio of their lecture. While students who registered in their course accessed the learning materials, the system collected their interaction logs in a learning record store. Across the spring semesters from April - July 2020, BookRoll system collected nearly 1.5 million reading interaction logs from more than 6300 students across 243 courses in 6 domains. The analysis highlighted that during emergency remote teaching and learning BookRoll maintained a weekly average traffic above 1,900 learners creating more than 78,000 reading logs and teachers perceived it as useful for orchestrating their course.


2021 ◽  
Vol 235 ◽  
pp. 01038
Author(s):  
Yuguo Gao

With the continuous development of Chinese science, and the improvement of the comprehensive national strength in education, more and more attention has been paid to the university education opened different specialized subjects for the study of professional knowledge. With the development of The Times and economy, the study of a single professional discipline has been difficult to meet the needs of various positions, so each discipline should be crossed and integrated, actively respond to the call of the state to innovate and train new talents, adapt to the national development.


2022 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Yi Qian

In order to serve the local economic development, this study investigates the demand for local talents and analyzes the characteristics of the talent training in artificial intelligence in local colleges and universities. Subsequently, the talent training objectives of artificial intelligence specialty have been formulated, and a curriculum system that integrates the industry and education has been constructed in hope to continuously provide high-quality talents in artificial intelligence for the society.


Sign in / Sign up

Export Citation Format

Share Document