Handbook of Statistical Analysis: AI and ML Applications

About Gary D. MinerKeith McCormickRobert Nisbet

Bob Nisbet PhD is a Data Scientist currently modeling precancerous colon polyp presence with clinical data at the UC-Irvine Medical Center. He has experience in predictive modeling in Telecommunications Insurance Credit Banking. His academic experience includes teaching in Ecology and in Data Science. His industrial experience includes predictive modeling at AT&T NCR and FICO. He has worked also in Insurance Credit membership organizations (e.g. AAA) Education and Health Care industries. He retired as an Assistant Vice President of Santa Barbara Bank & Trust in charge of business intelligence reporting and customer relationship management (CRM) modeling. Dr. Gary Miner PhD received a B.S. from Hamline University St. Paul MN with biology chemistry and education majors; an M.S. in zoology and population genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA pre-doctoral fellowship. He pursued additional National Institutes of Health postdoctoral studies at the U of Minnesota and U of Iowa eventually becoming immersed in the study of affective disorders and Alzheimer's disease. In 1985 he and his wife Dr. Linda Winters-Miner founded the Familial Alzheimer's Disease Research Foundation which became a leading force in organizing both local and international scientific meetings bringing together all the leaders in the field of genetics of Alzheimer's from several countries resulting in the first major book on the genetics of Alzheimers disease. In the mid-1990s Dr. Miner turned his data analysis interests to the business world joining the team at StatSoft and deciding to specialize in data mining. He started developing what eventually became the Handbook of Statistical Analysis and Data Mining Applications (co-authored with Drs. Robert A. Nisbet and John Elder) which received the 2009 American Publishers Award for Professional and Scholarly Excellence (PROSE). Their follow-up collaboration Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications also received a PROSE award in February of 2013. Gary was also co-author of Practical Predictive Analytics and Decisioning Systems for Medicine (Academic Press 2015). Overall Dr. Miners career has focused on medicine and health issues and the use of data analytics (statistics and predictive analytics) in analyzing medical data to decipher fact from fiction. Gary has also served as Merit Reviewer for PCORI (Patient Centered Outcomes Research Institute) that awards grants for predictive analytics research into the comparative effectiveness and heterogeneous treatment effects of medical interventions including drugs among different genetic groups of patients; additionally he teaches on-line classes in Introduction to Predictive Analytics Text Analytics Risk Analytics and Healthcare Predictive Analytics for the University of California-Irvine. Recently until official retirement 18 months ago he spent most of his time in his primary role as Senior Analyst-Healthcare Applications Specialist for Dell | Information Management Group Dell Software (through Dells acquisition of StatSoft (www.StatSoft.com) in April 2014). Currently Gary is working on two new short popular books on Healthcare Solutions for the USA and Patient-Doctor Genomics Stories. Keith McCormick is a highly accomplished professional consultant mentor and trainer having served as keynote and moderator at international conferences focused on analytic practitioners and leadership alike. Keith has leveraged statistical software since 1990 along with deep expertise utilizing popular industry advanced analytics solutions such as IBM SPSS Statistics IBM SPSS Modeler KNIME popular open-source and other tools involving text and big data analytics.