Machine Learning with Python: Theory and Implementation
暫譯: 使用 Python 的機器學習：理論與實作

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.

阿敏·佐拉瓦里（Amin Zollanvari）是納扎爾巴耶夫大學（Nazarbayev University）電機與計算機工程系的副教授及數據科學實驗室主任。他於2003年和2006年分別在伊朗的希拉茲大學（Shiraz University）獲得電機工程的學士和碩士學位，並於2010年在德克薩斯農工大學（Texas A&M University）獲得電機工程的博士學位。他曾在哈佛醫學院（Harvard Medical School）和波士頓婦女醫院（Brigham and Women's Hospital）擔任博士後研究員（2010-2012），隨後於2012年至2014年在德克薩斯農工大學統計系擔任助理研究科學家。他教授過多門有關機器學習、程式設計和統計信號處理的課程，涵蓋研究生和本科生層級，並在知名期刊和國際會議上發表了超過80篇有關基礎和實用機器學習及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。