Industrial Statistics: A Computer-Based Approach with Python

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.

Ron Kenett教授是以色列KPA集團主席，以色列海法Technion的Samuel Neaman研究所高級研究員，也是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、咨詢和商業領域的專業知識。

Shelemyahu Zacks教授是賓漢姆頓大學數學科學系的杰出教授。他是IMS、ASA、AAAS的會士，也是ISI的選舉會員。Zacks教授在設計實驗、統計過程控制、統計決策理論、序列分析、可靠性和有限人口抽樣等領域發表了11本書和170多篇期刊文章。他曾擔任多個統計學和概率學期刊的編輯和副編輯。

Peter Gedeck博士是Collaborative Drug Discovery的高級數據科學家，專注於開發機器學習算法來預測藥物候選物的生物和物理化學性質。此外，他還在維吉尼亞大學和statistics.com教授數據科學。