Webinar #317: Majoring in Machine Learning & Computer Science

 Worldwide Webinar #317: Majoring in Machine Learning & Computer Science

Key Takeaways:

• Overview and future development trends of computer science
• The importance of participating in computer science-related activities
• What benefits will machine learning-related research projects bring students?

Language: English

Guest Speaker: Professor James (Jimi) G. Shanahan, Ph.D.

• Star professor of Data Science and Machine Learning at UC Berkeley
• Published 6 books, more than 50 research publications, and over 20 patents in the field of machine learning and information processing
• Advisor at several high-tech companies
• Executive VP of Science & Technology at the Irish Innovation Center (IIC)
• 25+ years of experience developing and researching cutting-edge
• Information management systems
• Has co-founded machine learning and information systems related companies

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第317全球线上分享会: 机器学习与计算机科学的专业选择

主讲内容：

1、计算机科学专业的概况及未来发展趋势

2、参加计算机科学专业相关活动的重要意义

3、机器学习科研项目将带给学生哪些收获

讲座语言：英文

分享嘉宾：James (Jimi) G. Shanahan 教授，博士

• 加州大学伯克利分校数据科学与机器学习明星教授
• 在机器学习和信息处理领域出版了 6 本书，50 多篇研究出版物，以及 20 多项专利
• 多家高科技公司顾问
• 爱尔兰创新中心 (IIC) 科学与技术执行副总裁
• 25 年以上开发和研究尖端技术的经验
• 信息管理系统
• 曾共同创办机器学习和信息系统相关公司