Full Product Details
Author: David Roi Hardoon ,
Galit Shmueli
Publisher: Taylor & Francis Inc
Imprint: Chapman & Hall/CRC
Dimensions:
Width: 17.80cm
, Height: 2.00cm
, Length: 25.40cm
Weight: 0.512kg
ISBN: 9781439896532
ISBN 10: 1439896534
Pages: 190
Publication Date: 26 March 2013
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
This book offers an introduction to the essence of business analytics, providing a good summary of the analytical solutions employed across these industries today, including an updated vocabulary on new domains such as social media. The reader will appreciate the difference between supervised and unsupervised learning, k-means clustering and regression tree classification. ... Getting Started with Business Analytics will simplify, and demystify, the concepts around the science of data. Looking back at my career in the field of business analytics, I realize that it would have been extremely helpful to have had such a book in hand. It would have provided me with guidance on structuring my analytical solutions and would have inspired me to greater creativity. I hope this book will light the spark of curiosity for a new generation of data scientists. -Eric Sandosham, Managing Director and Regional Head of Decision Management at Citibank, Asia Pacific 2010-2012
Author Information
David R. Hardoon is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines, Chair of Data Committee at Aboitiz Group and acting in capacity of Managing Director for Aboitiz Data Innovation. Concurrently David is an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) in the capacity of Senior Advisor (Artificial Intelligence) and to Singapore's Central Provident Fund Board (CPF) in the capacity of Senior Advisor (Data Science). David has extensive exposure and experience in both industry and academia and he has consistently applied advanced technology with an analytical mindset to shape and deliver new innovation. David holds a PhD in Computer Science in the field of Machine Learning from the University of Southampton and graduated from Royal Holloway, University of London with First Class Honors B.Sc. in Computer Science and Artificial Intelligence. Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business, and earlier Associate Professor of Statistics at University of Maryland's Smith School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare. Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authors over seventy journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.
