Industrial Statistics: A Computer-Based Approach with Python
暫譯: 工業統計：基於 Python 的電腦化方法

Professor Ron Kenett is Chairman of the KPA Group, Israel and Senior Research Fellow at the Samuel Neaman Institute, Technion, Haifa Israel and Professor, University of Turin, Italy. He is an applied statistician combining expertise in academic, consulting and business domains.
Shelemyahu Zacks is a Distinguished Professor emeritus in the Mathematical Sciences department of Binghamton University.He is a Fellow of the IMS, ASA, AAAS and an elected member of the ISI. Professor Zacks has published eleven books and more than 170 journal articles on subjects of design of experiments, statistical process control, statistical decision theory, sequential analysis, reliability and sampling from finite populations. Professor Zacks has served as an Editor and Associate Editor of several Statistics and Probability journals.
Dr. Peter Gedeck, a Senior Data Scientist at Collaborative Drug Discovery, specializes in the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. In addition, he teaches data science at the University of Virginia and at statistics.com.

羅恩·肯內特教授（Professor Ron Kenett）是以色列KPA集團的主席，並擔任以色列海法的以色列理工學院薩繆爾·尼曼研究所的高級研究員，以及意大利都靈大學的教授。他是一位應用統計學家，結合了學術、諮詢和商業領域的專業知識。

謝勒米亞胡·扎克斯（Shelemyahu Zacks）是賓漢頓大學數學科學系的榮譽特聘教授。他是IMS、ASA、AAAS的會士，並且是ISI的當選成員。扎克斯教授已出版十一本書籍和超過170篇期刊文章，主題涵蓋實驗設計、統計過程控制、統計決策理論、序列分析、可靠性及有限母體的抽樣。扎克斯教授曾擔任多本統計與機率期刊的編輯和副編輯。

彼得·蓋德克博士（Dr. Peter Gedeck）是Collaborative Drug Discovery的高級數據科學家，專注於開發機器學習算法，以預測藥物候選者的生物學和物理化學特性。此外，他還在維吉尼亞大學和statistics.com教授數據科學。