Practical Machine Learning Illustrated with Knime

Yu Geng received his Ph.D. degree in Electrical and Computer Engineering from the Hong Kong University of Science and Technology, Hong Kong, China, in 2015. Now, he is an assistant professor at Shenzhen Institute of Information Technology, Shenzhen, China. He is also the lecturer for many companies in China to teach people how to use machine learning to advance their own careers. His research interests include semiconductor devices simulation and fabrication, data mining, and natural language processing.

Email: gengyabc@aliyun.com

Dr. Li Qin is an accomplished researcher with a Ph.D. from Hong Kong Polytechnic University, which he obtained in 2010. Following his postdoctoral work at Shenzhen University in 2013, he embarked on his journey as an associate professor at the Shenzhen Institute of Information Technology. His primary research focus is on the fundamental theories of pattern recognition.

Since 2001, Dr. Qin has made significant contributions to his field, publishing over 40 articles that have been recognized and cited in prestigious journals indexed by SCI/EI, with more than 10 of them being featured in SCI Zone 1. He has played a leadership role in guiding two Natural Science Foundation projects of Guangdong Province and holds five patents, including one in the United States.

Email: liqin@sziit.edu.cn

Dr. Yang Geng is a distinguished professional with an EngD. degree earned from Hong Kong Polytechnic University in 2018. He currently holds the title of Senior Engineer and serves as an esteemed member of the Shenzhen Emergency Management Technology Informatization Consulting Expert Committee. Dr. Yang's research primarily revolves around the innovative applications of artificial intelligence and blockchain technologies. His groundbreaking work has led to the successful implementation of numerous related achievements that have left a lasting impact in the field.

Email: yangg@sziit.edu.cn

Qiu Wan is the chairman and Director of Shenzhen Zhaoyang Institute of Information Technology, EMBA graduate from Tsinghua University, and holds a Bachelor's degree in Electronic Information Engineering from Zhejiang University. Formerly served as the Director of the Training Department of Shenzhen High-tech Association, with a primary focus on the application of artificial intelligence in intelligent manufacturing, smart management, and data mining.

Email: qwvivienqiu@hotmail.com

余耕於2015年獲得香港科技大學電機與計算機工程博士學位。目前，他是中國深圳信息技術學院的助理教授。他同時也是多家中國公司的講師，教授人們如何利用機器學習來提升自己的職業生涯。他的研究興趣包括半導體器件的模擬與製造、數據挖掘以及自然語言處理。

電子郵件：gengyabc@aliyun.com

秦立博士是一位成就卓著的研究者，於2010年獲得香港理工大學博士學位。2013年完成在深圳大學的博士後研究後，他開始在深圳信息技術學院擔任副教授。他的主要研究重點是模式識別的基本理論。

自2001年以來，秦博士在其領域做出了重要貢獻，發表了超過40篇文章，這些文章在SCI/EI索引的知名期刊中受到認可和引用，其中超過10篇被列入SCI區域1。他在指導兩個廣東省自然科學基金項目中擔任領導角色，並擁有五項專利，其中一項在美國獲得。

電子郵件：liqin@sziit.edu.cn

楊耕博士是一位傑出的專業人士，於2018年獲得香港理工大學的工程博士學位。他目前擔任高級工程師，並是深圳應急管理技術信息化諮詢專家委員會的成員。楊博士的研究主要圍繞人工智慧和區塊鏈技術的創新應用。他的開創性工作促成了多項相關成就的成功實施，對該領域產生了深遠的影響。

電子郵件：yangg@sziit.edu.cn

邱婉是深圳兆陽信息技術研究院的董事長兼主任，清華大學EMBA畢業生，並擁有浙江大學電子信息工程學士學位。曾擔任深圳高科技協會培訓部主任，主要專注於人工智慧在智能製造、智慧管理和數據挖掘中的應用。

電子郵件：qwvivienqiu@hotmail.com