000 02231nam a22003015i 4500
001 21749591
005 20240412102153.0
008 201013s2020 nju 000 0 eng
010 _a 2020947805
020 _a9780136738510
040 _aDLC
_beng
_erda
_cDLC
042 _apcc
100 1 _aDelen, Dursun,
_eauthor.
245 1 0 _aPredictive analytics
_b: data mining, machine learning and data science for practitioners
_c/ Dursun Delen.
250 _aSecond edition
264 1 _aHoboken :
_bPearson Education, Inc.,
_c2021
300 _axv, 421 pages : illustrations (chiefly color) ; 23 cm
490 _aPearson Business Analytics series
505 _aIntroduction 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.
520 _a"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"--
_cProvided by publisher.
650 0 _aBusiness intelligence
_97978
650 0 _aData mining
_97979
650 0 _a Decision making
_9339
650 0 _a Statistical methods
_910174
650 0 _aMachine learning
_91129
942 _2lcc
999 _c3532
_d3532
041 _aEnglish