Predictive analytics : data mining, machine learning and data science for practitioners / Dursun Delen.
Material type: TextLanguage: English Series: Pearson Business Analytics seriesPublisher: Hoboken : Pearson Education, Inc., 2021Edition: Second editionDescription: xv, 421 pages : illustrations (chiefly color) ; 23 cmISBN:- 9780136738510
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
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Book | TBS Barcelona Libre acceso | HD38.7 DEL (Browse shelf(Opens below)) | 1 | Available | B02774 | |
Book | TBS Barcelona Libre acceso | HD38.7 DEL (Browse shelf(Opens below)) | 2 | Available | B02775 |
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"-- Provided by publisher.