Overview

Full Product Details

9780128014608

Table of Contents

Reviews

If learning-by-doing is your mantra -- as well it should be for predictive analytics -- this book will jumpstart your practice. Covering a broad, foundational collection of techniques, authors Kotu and Deshpande deliver crystal-clear explanations of the analytical methods that empower organizations to learn from data. After each concept, screenshots make the 'how to' immediately concrete, revealing the steps needed to set things up and go; you're guided through real hands-on execution. - Eric Siegel, Ph.D., founder of Predictive Analytics World and author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die The analytics that turns Big Data into actionable intelligence is no longer the exclusive realm of data scientists - it is impacting nearly every business function. Business intelligence is a significant competitive advantage, if applied properly. Gaining that advantage requires that business decision makers and data analyst have a good understanding of the available analytics tools and how to apply them. Predictive Analytics and Data Mining book provides an easy to understand framework of predictive analytics and data mining concepts. The framework is reinforced with examples and sample datasets that demonstrate how to apply the new tools to real-world problems. I highly recommend this book to anyone who wants a better understanding of how to make analytics a game changer for your organization - David Dowhan, President, TruSignal Predictive analytics and insights has become the most critical skill-set in decision making and running the modern business. Predictive Analytics and Data Mining provides you the advanced concepts and practical implementation techniques to incorporate analytics in your business process. The two dozen data mining algorithms covered in this book forms the underpinnings of the field of business analytics that has transformed the way data is treated in business. So far, advanced analytics has been practiced only by select few. With your interest and this book, you can master it too. - Sy Fahimi, Operating Partner & Executive-in-Residence, Symphony Technology Group There are two kinds of predictive analytics books. One kind gives a high level informal overview to those who just want to understand this field conceptually. Another kind gives a textbook technical introduction for the experts with extensive knowledge of statistics and computer science. Kotu and Deshpande's book is unusual because it strikes a nice balance. It can be understood by anyone who can understand basic computations of probability. The choice of RapidMiner is brilliant, since anyone who has used excel in the past can follow the hands-on examples, and learn to get more out of their data. The book does an excellent job of appealing to our intuitions about probabilities and then expanding on these intuitions to cover very advanced topics, such as decision trees and association rules. The material is accessible to anyone who took elementary statistics in college, even if college was many years ago. - Maria Stone, Vice President, Data and User Experience, Yahoo

Author Information

Vijay Kotu is Vice President of Analytics at ServiceNow. He leads the implementation of large-scale data platforms and services to support the company's enterprise business. He has led analytics organizations for over a decade with focus on data strategy, business intelligence, machine learning, experimentation, engineering, enterprise adoption, and building analytics talent. Prior to joining ServiceNow, he was Vice President of Analytics at Yahoo. He worked at Life Technologies and Adteractive where he led marketing analytics, created algorithms to optimize online purchasing behavior, and developed data platforms to manage marketing campaigns. He is a member of the Association of Computing Machinery and a member of the Advisory Board at RapidMiner. Dr. Deshpande has extensive experience in working with companies ranging from startups to Fortune 5 in fields ranging from automotive, aerospace, retail, food, and manufacturing verticals delivering business analysis; designing and developing custom data products for implementing business intelligence, data science, and predictive analytics solutions. He was the Founder of SimaFore, a predictive analytics consulting company which was acquired by Soliton Inc., a provider of testing solutions for the semiconductor industry. He was also the Founding Co-chair of the annual Predictive Analytics World-Manufacturing conference. In his professional career he has worked with Ford Motor Company on their product development, with IBM at their IBM Watson Center of Competence, and with Domino’s Pizza at their data science and artificial intelligence groups. He has a Ph.D. from Carnegie Mellon and an MBA from Ross School of Business, Michigan.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available