Predictive analytics : data mining, machine learning and data science for practitioners
/ Dursun Delen.
- Second edition
- xv, 421 pages : illustrations (chiefly color) ; 23 cm
- Pearson Business Analytics series .
Introduction to analytics | Introduction to predictive analytics and data mining | Standardized processes for predictive analytics | Data and methods for predictive analytics | Advanced topics in predictive modeling | Text analytics, topic modeling, and sentiment analysis | Big data for predictive analytics | Deep learning and cognitive computing.
"Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers all this, and more: Data mining processes, methods, and techniques The role and management of data Predictive analytics tools and metrics Techniques for text and web mining, and for sentiment analysis Integration with cutting-edge Big Data approaches Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors"--
9780136738510
2020947805
Business intelligence Data mining Decision making Statistical methods Machine learning