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開始日期:
2023年6月24日
專業(yè)方向:
金融商科
導師:
Patrick(牛津大學 University of Oxford 終身教授)
課程周期:
7周在線小組科研學習+5周不限時論文指導學習
語言:
英文
建議學生年級:
大學生 高中生
項目產出:
7周在線小組科研學習+5周不限時論文指導學習 共125課時 項目報告 優(yōu)秀學員獲主導師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級別索引國際會議全文投遞與發(fā)表指導(可用于申請) 結業(yè)證書 成績單
項目介紹:
2017年,摩根大通發(fā)布了一份題為《大數據與人工智能戰(zhàn)略:機器學習和其它投資數據分析方法》的報告,對機器學習對金融領域的影響進行了全面的闡述,昭示著機器學習已經敲開金融領域和商業(yè)數據分析的大門。機器學習是什么?如何與商業(yè)分析相結合?項目將通過介紹兩種非常實用的商業(yè)分析工具,即Python編程語言和機器學習工具包,幫助學生厘清上述問題的答案。學生將著重了解機器學習在商業(yè)分析股市預測中的應用,利用機器學習分析市場數據解決商業(yè)問題。該項目內容包括機器學習與數據科學概論、商業(yè)分析中市場數據處理的機器學習技術與算法、Python與Jupiter notebooks交互式學習、機器學習庫、股市預測等。學生將在項目中學習如何使用機器學習完成商業(yè)市場數據分析,進行股市預測,在項目結束時,提交項目報告,進行成果展示。 In 2017, JPMorgan Chase released a report entitled Big Data and AI Strategies: Machine Learning and Alternative Data Approach to Investing, which comprehensively elaborated the impact of machine learning on the financial sector, showing that machine learning has been introduced into the financial sector and business data analysis. What is machine learning? How to integrate it with business analysis? The program will help students clarify the answers to the above questions by introducing two useful business analysis tools, the Python programming language, and the machine learning toolkit. Students will focus on the application of machine learning in business analysis and stock market forecast, and use machine learning to analyze market data to solve business problems. The program covers an introduction to machine learning and data science, machine learning techniques and algorithms on market data processing in business analysis, interactive learning with Python and Jupiter notebooks, libraries for machine learning, and predicting the stock market. During the program, students will learn how to use machine learning to complete market data analysis, predict the stock market, and at the end of the program, submit a project report and present the results.