Machine Learning with Python: Theory and Implementation

Amin Zollanvari is an Associate Professor of Electrical and Computer Engineering and the Head of Data Science Laboratory at Nazarbayev University. He received his B.Sc. and M.Sc. degrees in electrical engineering from Shiraz University, Iran, in 2003 and 2006, respectively, and a Ph.D. in electrical engineering from Texas A&M University, in 2010. He held a postdoctoral position at Harvard Medical School and Brigham and Women's Hospital, Boston MA (2010-2012), and later joined the Department of Statistics at Texas A&M University as an Assistant Research Scientist (2012-2014). He has taught a number of courses on machine learning, programming, and statistical signal processing both at graduate and undergraduate level and has authored over 80 research papers in prestigious journals and international conferences on fundamental and practical machine learning and pattern recognition. He is currently an IEEE Senior member and has served as an Associate Editor of IEEE Access since 2018.

Amin Zollanvari是哈薩克斯坦納扎爾巴耶夫大學電氣與計算機工程學系的副教授，也是數據科學實驗室的負責人。他於2003年和2006年分別在伊朗設拉子大學獲得電氣工程學士和碩士學位，並於2010年在德克薩斯農工大學獲得電氣工程博士學位。他曾在哈佛醫學院和布里格姆婦女醫院擔任博士後職位（2010-2012年），後來加入德克薩斯農工大學統計學系擔任助理研究科學家（2012-2014年）。他曾在研究生和本科生課程中教授過多門機器學習、編程和統計信號處理的課程，並在重要期刊和國際會議上發表了80多篇有關基礎和實用機器學習和模式識別的研究論文。他目前是IEEE的高級會員，自2018年以來擔任IEEE Access的副編輯。